4,383 Data Driven Insights jobs in the United States
Data Driven Insights Analyst
33747 Saint Petersburg, Florida
Raymond James Financial, Inc.
Posted today
Job Viewed
Job Description
**Essential Duties and Responsibilities**
+ Collaborates with leadership to identify, define, and solve a variety of business problems and support various initiatives.
+ Leads the design, completion and reporting of assigned analytical projects. Examples include measuring client profitability and attrition, evaluating financial advisor productivity, completing performance reports for key initiatives and departments.
+ Performs data gathering, organization and analysis using SQL-based queries
+ Develops statistical models and methodologies to quantify or forecast performance metrics.
+ Ensures high data quality, accuracy and reliability in assigned projects and deliverables
+ Utilizes Tableau or other data visualization tools to build reports and performance dashboards
+ Utilizes effective project management and time tracking skills to ensure the on-time completion of deliverables and adherence to SOW allocated hours
+ Prepares management reports and uses strong presentation skills and storytelling techniques to communicate findings to stakeholders.
+ Works collaboratively and autonomously to complete projects and assignments
**Knowledge of**
+ Advanced knowledge and demonstrated experience of statistical models and methods.
+ Advanced knowledge of large relational databases, and SQL programming.
+ Working knowledge of data modeling methods and software
+ Working knowledge and familiarity with data mining and visualization tools.
**Skill in**
+ Applied utilization of Excel, SQL, Tableau Prep and Desktop, PowerPoint, and statistical analysis packages such as R and Python.
+ Simplifying and presenting time series and cross-sectional data.
+ Reading, analyzing, and interpreting common technical journals and financial reports.
+ Understanding of basic mathematical operations including frequency distribution, analysis of variance, correlation techniques, sampling theory and factor analysis.
+ Defining project scope of services, analytical requirements, deliverables and timelines
+ Representing work and presenting findings to key stakeholders
**Ability to**
+ Effectively articulate project updates and status to team members and stakeholders
+ Ensure alignment with stakeholders on project priorities
+ Work independently and collaboratively in a team environment.
+ Respond to ad hoc inquiries from stakeholders with a high level of service
+ Define problems, collect data, establish facts, and draw conclusions.
+ Interpret a variety of technical instructions.
+ Organize, manage and track multiple detailed tasks and assignments with frequently changing priorities in a fast-paced work environment.
+ Communicate effectively, both orally and in writing with internal customers and IT professionals.
+ Provide a high level of customer service.
+ Establish and maintain effective working relationships with others.
**Licenses/Certifications**
+ None Required.
**Travel Required:**
+ No
+ Collaborates with leadership to identify, define, and solve a variety of business problems and support various initiatives.
+ Leads the design, completion and reporting of assigned analytical projects. Examples include measuring client profitability and attrition, evaluating financial advisor productivity, completing performance reports for key initiatives and departments.
+ Performs data gathering, organization and analysis using SQL-based queries
+ Develops statistical models and methodologies to quantify or forecast performance metrics.
+ Ensures high data quality, accuracy and reliability in assigned projects and deliverables
+ Utilizes Tableau or other data visualization tools to build reports and performance dashboards
+ Utilizes effective project management and time tracking skills to ensure the on-time completion of deliverables and adherence to SOW allocated hours
+ Prepares management reports and uses strong presentation skills and storytelling techniques to communicate findings to stakeholders.
+ Works collaboratively and autonomously to complete projects and assignments
**Knowledge of**
+ Advanced knowledge and demonstrated experience of statistical models and methods.
+ Advanced knowledge of large relational databases, and SQL programming.
+ Working knowledge of data modeling methods and software
+ Working knowledge and familiarity with data mining and visualization tools.
**Skill in**
+ Applied utilization of Excel, SQL, Tableau Prep and Desktop, PowerPoint, and statistical analysis packages such as R and Python.
+ Simplifying and presenting time series and cross-sectional data.
+ Reading, analyzing, and interpreting common technical journals and financial reports.
+ Understanding of basic mathematical operations including frequency distribution, analysis of variance, correlation techniques, sampling theory and factor analysis.
+ Defining project scope of services, analytical requirements, deliverables and timelines
+ Representing work and presenting findings to key stakeholders
**Ability to**
+ Effectively articulate project updates and status to team members and stakeholders
+ Ensure alignment with stakeholders on project priorities
+ Work independently and collaboratively in a team environment.
+ Respond to ad hoc inquiries from stakeholders with a high level of service
+ Define problems, collect data, establish facts, and draw conclusions.
+ Interpret a variety of technical instructions.
+ Organize, manage and track multiple detailed tasks and assignments with frequently changing priorities in a fast-paced work environment.
+ Communicate effectively, both orally and in writing with internal customers and IT professionals.
+ Provide a high level of customer service.
+ Establish and maintain effective working relationships with others.
**Licenses/Certifications**
+ None Required.
**Travel Required:**
+ No
View Now
0
Senior Sports Performance Analyst - Data Driven Insights
85001 Whispering Pines, Arizona
$85000 Annually
WhatJobs
Posted 11 days ago
Job Viewed
Job Description
Our client, a leading professional sports organization, is seeking a highly analytical and experienced Senior Sports Performance Analyst to join their team in **Phoenix, Arizona**. This role is pivotal in leveraging data to enhance athlete performance, prevent injuries, and inform strategic decision-making across all levels of the organization. The ideal candidate will possess a strong background in sports science, data analytics, statistical modeling, and have a proven ability to translate complex data into actionable insights for coaches, athletes, and management. This hybrid role requires a blend of on-site analysis and collaboration with remote data infrastructure.
Responsibilities:
Responsibilities:
- Collect, process, and analyze a wide range of performance data, including physiological metrics, biomechanical data, GPS tracking, video analysis, and subjective feedback.
- Develop and implement advanced statistical models to identify key performance indicators (KPIs) and predict potential outcomes.
- Create compelling visualizations and reports to communicate findings clearly and effectively to technical and non-technical stakeholders.
- Collaborate closely with coaching staff to understand their needs and provide data-driven recommendations for training programs, game strategies, and player development.
- Work with medical and sports science teams to monitor athlete load, fatigue, and injury risk, developing preventative strategies.
- Utilize cutting-edge analytics software and tools, and stay abreast of emerging technologies in sports performance analysis.
- Design and oversee performance testing protocols to assess athlete capabilities.
- Contribute to the development and maintenance of the organization's data infrastructure and analytics platforms.
- Mentor junior analysts and contribute to the overall growth of the performance analytics department.
- Ensure data integrity, privacy, and ethical use of information.
- Present findings and insights regularly to coaching staff, management, and potentially player groups.
- Master's degree in Sports Science, Kinesiology, Data Science, Statistics, or a related quantitative field.
- Minimum of 6 years of experience in sports performance analysis, preferably within professional or elite-level sports.
- Advanced proficiency in statistical analysis software (e.g., R, Python, SPSS) and data visualization tools (e.g., Tableau, Power BI).
- Experience with sports-specific tracking technologies (e.g., GPS, inertial sensors) and video analysis software.
- Strong understanding of biomechanics, exercise physiology, and training principles.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional communication and presentation skills, with the ability to explain complex concepts to diverse audiences.
- Ability to work effectively in a fast-paced, high-pressure environment.
- Experience in a hybrid work setting, demonstrating strong self-discipline and time management.
- A passion for sports and a data-driven approach to performance enhancement.
Apply Now
1
Senior Manager, Business Intelligence & Data Analytics
01701 Framingham, Massachusetts
Staples
Posted 1 day ago
Job Viewed
Job Description
**Staples is business to business. You're what binds us together.**
Our world class sales and sales support teams work directly with businesses of all sizes to offer products and services to meet our customers' unique needs. We are committed to understanding our customers and use best-in-class sales tools and technology to find the best solutions. We're constantly discovering new ways to reach our goals, taking time to develop our skills, and investing in our career growth, so we can enjoy lucrative opportunities and grow our careers both within and beyond sales.What you'll be doing:
+ Lead the design and optimization of scalable data pipelines and architecture using platforms like Snowflake, BigQuery, and relational databases.
+ Translate business priorities into actionable data initiatives that improve access, accuracy, and visibility of key sales metrics.
+ Manage and mentor a team of data engineers, BI developers, and analysts, fostering professional growth and high-quality delivery.
+ Collaborate with Product, Commercial, Operations, and IT teams to define requirements and deliver solutions that enhance decision-making.
+ Establish and enforce data governance frameworks and quality assurance practices to guarantee reliable analytics.
+ Develop and monitor KPIs, dashboards, and metrics that measure operational performance and sales effectiveness.
+ Implement automated reporting systems to streamline delivery of sales and operational metrics.
+ Support AI and advanced analytics initiatives, partnering with research teams to integrate new models and scale infrastructure.
+ Present analytical findings and recommendations to senior leaders and cross-functional stakeholders.
+ Drive continuous improvement by evaluating new technologies and analytical tools to enhance data agility and reduce manual effort.
**What you bring to the table:**
+ Strategic, analytical thinker with a data-driven approach to problem-solving.
+ Strong leadership and coaching skills, with a proven track record of developing high-performing teams.
+ Exceptional communication and interpersonal abilities; able to influence at all levels.
+ Highly organized and detail-oriented, adept at managing multiple initiatives simultaneously.
+ Business acumen to align data initiatives with commercial objectives.
**What's needed- Basic Qualifications:**
+ Bachelor's degree in Analytics, Data Science, Business, Marketing, or related field; or equivalent work experience.
+ 8+ years of data engineering, business intelligence, or analytics roles.
+ Expertise in SQL, data modeling, and relational database management.
+ Hands-on experience with Snowflake, BigQuery, and traditional RDBMS systems.
+ Proficiency with BI and visualization tools such as Power BI, Tableau, or Looker.
+ Proven ability to develop and optimize ETL/ELT data pipelines for performance and scalability.
+ Strong understanding of data governance, metadata management, and data quality principles.
+ Demonstrated ability to lead cross-functional teams and manage multiple concurrent initiatives.
**What's needed- Preferred Qualifications:**
+ Master's degree preferred.
+ Experience with R, Python, dbt, or Airflow for advanced data orchestration and transformation.
+ Familiarity with cloud-based architectures (AWS, GCP, Azure) and their data services.
+ Knowledge of AI/ML integration, model deployment support, and advanced analytics pipelines.
+ Experience implementing data governance frameworks and enterprise data catalogs.
+ Strong project management background, including Agile or hybrid methodologies.
+ Prior experience in sales operations analytics, such as forecasting, territory planning, or performance reporting.
**We Offer** **:**
+ Inclusive culture with associate-led Business Resource Groups
+ Flexible PTO (22 days) and Holiday Schedule (7 observed paid holidays)
+ Online and Retail Discounts, Company Match 401(k), Physical and Mental Health Wellness programs, and more!
#LI-HS1
Staples is an Equal Opportunity Employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender idenity, sexual orientation, age, national origin, protected veteran status, disability, or any other basis protected by federal, state, or local law.
For individuals with disabilities that need additional assistance at any point in the process, please call for more information.
Our world class sales and sales support teams work directly with businesses of all sizes to offer products and services to meet our customers' unique needs. We are committed to understanding our customers and use best-in-class sales tools and technology to find the best solutions. We're constantly discovering new ways to reach our goals, taking time to develop our skills, and investing in our career growth, so we can enjoy lucrative opportunities and grow our careers both within and beyond sales.What you'll be doing:
+ Lead the design and optimization of scalable data pipelines and architecture using platforms like Snowflake, BigQuery, and relational databases.
+ Translate business priorities into actionable data initiatives that improve access, accuracy, and visibility of key sales metrics.
+ Manage and mentor a team of data engineers, BI developers, and analysts, fostering professional growth and high-quality delivery.
+ Collaborate with Product, Commercial, Operations, and IT teams to define requirements and deliver solutions that enhance decision-making.
+ Establish and enforce data governance frameworks and quality assurance practices to guarantee reliable analytics.
+ Develop and monitor KPIs, dashboards, and metrics that measure operational performance and sales effectiveness.
+ Implement automated reporting systems to streamline delivery of sales and operational metrics.
+ Support AI and advanced analytics initiatives, partnering with research teams to integrate new models and scale infrastructure.
+ Present analytical findings and recommendations to senior leaders and cross-functional stakeholders.
+ Drive continuous improvement by evaluating new technologies and analytical tools to enhance data agility and reduce manual effort.
**What you bring to the table:**
+ Strategic, analytical thinker with a data-driven approach to problem-solving.
+ Strong leadership and coaching skills, with a proven track record of developing high-performing teams.
+ Exceptional communication and interpersonal abilities; able to influence at all levels.
+ Highly organized and detail-oriented, adept at managing multiple initiatives simultaneously.
+ Business acumen to align data initiatives with commercial objectives.
**What's needed- Basic Qualifications:**
+ Bachelor's degree in Analytics, Data Science, Business, Marketing, or related field; or equivalent work experience.
+ 8+ years of data engineering, business intelligence, or analytics roles.
+ Expertise in SQL, data modeling, and relational database management.
+ Hands-on experience with Snowflake, BigQuery, and traditional RDBMS systems.
+ Proficiency with BI and visualization tools such as Power BI, Tableau, or Looker.
+ Proven ability to develop and optimize ETL/ELT data pipelines for performance and scalability.
+ Strong understanding of data governance, metadata management, and data quality principles.
+ Demonstrated ability to lead cross-functional teams and manage multiple concurrent initiatives.
**What's needed- Preferred Qualifications:**
+ Master's degree preferred.
+ Experience with R, Python, dbt, or Airflow for advanced data orchestration and transformation.
+ Familiarity with cloud-based architectures (AWS, GCP, Azure) and their data services.
+ Knowledge of AI/ML integration, model deployment support, and advanced analytics pipelines.
+ Experience implementing data governance frameworks and enterprise data catalogs.
+ Strong project management background, including Agile or hybrid methodologies.
+ Prior experience in sales operations analytics, such as forecasting, territory planning, or performance reporting.
**We Offer** **:**
+ Inclusive culture with associate-led Business Resource Groups
+ Flexible PTO (22 days) and Holiday Schedule (7 observed paid holidays)
+ Online and Retail Discounts, Company Match 401(k), Physical and Mental Health Wellness programs, and more!
#LI-HS1
Staples is an Equal Opportunity Employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender idenity, sexual orientation, age, national origin, protected veteran status, disability, or any other basis protected by federal, state, or local law.
For individuals with disabilities that need additional assistance at any point in the process, please call for more information.
View Now
2
Senior Manager Data Analytics & Business Intelligence
30009 Alpharetta, Georgia
RELX INC
Posted 4 days ago
Job Viewed
Job Description
About the Business
LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below, the Role
The Senior Manager of Data Analytics & Business Intelligence (BI) will lead a high-performing team of data professionals. This role requires a strong leader with a deep technical background, sharp business acumen, and a passion for leveraging modern AI technologies to drive business outcomes. The individual will partner closely with cross-functional teams to design data-driven strategies, develop scalable analytics solutions, and enhance our BI capabilities to support decision-making at all levels of the organization.
Ideal candidate can be remote or hybrid from our Dayton, OH, Boca Raton, FL or Alpharetta, GA offices for onsite meetings as needed.
Responsibilities
Leadership & Strategy
+ Lead, mentor, and grow a team of data analysts and BI developers
+ Set clear performance goals, provide coaching, and support career development
+ Foster a culture of curiosity, innovation, and continuous improvement
+ Define and execute the analytics projects aligned with organizational goals and enterprise-wide strategic initiatives and programs
+ Foster a data-driven culture across the organization through stakeholder engagement and data literacy initiatives
+ Effectively navigate a matrixed organization to collaborate with stakeholders, sponsors, and executive leadership to define key performance indicators (KPIs) and reporting standards
Technical Execution
+ Oversee the design, development, and maintenance of robust scalable data models, dashboards, and reports using modern BI tools (e.g. SQL, Power BI, Tableau, GitHub)
+ Ensure high data quality and integrity by driving data governance and best practices
+ Partner with business and operations teams to build scalable data pipelines and optimize data infrastructure
+ Collaborate with the organization Enterprise Data Management teams to ensure robust data governance, security, and quality
+ Lead the integration of diverse data sources (structured and unstructured) to create a unified analytics environment
Business Acumen
+ Lead the integration of diverse data sources (structured and unstructured) to create a unified analytics environment
· Appreciation for how each team contributes to overall business performance
· Understanding of interdependencies and process flows across departments
· Ability to identify and resolve cross-functional bottlenecks
+ Translate complex data insights into actionable business strategies
+ Provide analytical support for high-impact business initiatives including revenue growth, customer retention, and operational efficiency
+ Identify opportunities for process improvements, cost savings, and risk mitigation using data insights
+ Knowledge of core business tools such as Salesforce, ServiceNow
AI & Innovation
+ Leverage advanced analytics and AI/ML techniques to uncover patterns, predict outcomes, and automate decision-making
+ Lead the integration of diverse data sources (structured and unstructured) to create a unified analytics environment
+ Evaluate and implement new AI technologies and tools (e.g., generative AI, LLMs, Databricks and DataGenie) to drive innovation and efficiency
+ Stay abreast of emerging trends in data analytics and AI and guide the team and overall organization in adopting relevant advancements
Requirements
+ 8+ years in analytics leadership roles, managing cross-functional data teams
+ Proven ability to influence senior stakeholders and drive data-driven decisions
+ Excellent interpersonal, communication, and stakeholder management skills
+ Expert-level SQL for complex data querying and transformation, data modeling, and ETL processes
+ Strong command of data modeling and data visualization tools (e.g. Power BI, Tableau)
+ Experience with cloud-based data platforms (e.g., Snowflake, BigQuery, Azure Synapse)
+ Strong understanding of business operations, KPIs, customer, and financial metrics
+ Ability to connect data insights to business strategy and ROI
+ Experience working across functions such as product, market planning, sales, operations, product implementation, and finance
+ Exceptional business acumen and experience working closely with cross-functional business leaders
+ Excellent communication and storytelling skills, with the ability to influence and engage stakeholders at all levels
+ Hands-on experience with AI/ML tools and frameworks (e.g. Copilot Analyst/Researcher, Databricks/DataGenie)
+ Familiarity with GenAI and LLMs (e.g., OpenAI) and how they can be integrated into business workflows
+ Understanding of responsible AI principles and data ethics
+ Advanced Python skills for data analysis, modeling, and ML
+ Experience applying statistical modeling and machine learning
U.S. National Base Pay Range: $116,000 - $15,500. Geographic differentials may apply in some locations to better reflect local market rates.
If performed in Ohio, the pay range is 110,200 - 204,700.
This job is eligible for an annual incentive bonus.
We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
● Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits
● Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan
● Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs
● Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity
● Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits
● Health Savings, Health Care, Dependent Care and Commuter Spending Accounts
● In addition to annual Paid Time Off, we offer up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact .
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here .
Please read our Candidate Privacy Policy .
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
USA Job Seekers:
EEO Know Your Rights .
RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive.
Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions.
Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.
LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below, the Role
The Senior Manager of Data Analytics & Business Intelligence (BI) will lead a high-performing team of data professionals. This role requires a strong leader with a deep technical background, sharp business acumen, and a passion for leveraging modern AI technologies to drive business outcomes. The individual will partner closely with cross-functional teams to design data-driven strategies, develop scalable analytics solutions, and enhance our BI capabilities to support decision-making at all levels of the organization.
Ideal candidate can be remote or hybrid from our Dayton, OH, Boca Raton, FL or Alpharetta, GA offices for onsite meetings as needed.
Responsibilities
Leadership & Strategy
+ Lead, mentor, and grow a team of data analysts and BI developers
+ Set clear performance goals, provide coaching, and support career development
+ Foster a culture of curiosity, innovation, and continuous improvement
+ Define and execute the analytics projects aligned with organizational goals and enterprise-wide strategic initiatives and programs
+ Foster a data-driven culture across the organization through stakeholder engagement and data literacy initiatives
+ Effectively navigate a matrixed organization to collaborate with stakeholders, sponsors, and executive leadership to define key performance indicators (KPIs) and reporting standards
Technical Execution
+ Oversee the design, development, and maintenance of robust scalable data models, dashboards, and reports using modern BI tools (e.g. SQL, Power BI, Tableau, GitHub)
+ Ensure high data quality and integrity by driving data governance and best practices
+ Partner with business and operations teams to build scalable data pipelines and optimize data infrastructure
+ Collaborate with the organization Enterprise Data Management teams to ensure robust data governance, security, and quality
+ Lead the integration of diverse data sources (structured and unstructured) to create a unified analytics environment
Business Acumen
+ Lead the integration of diverse data sources (structured and unstructured) to create a unified analytics environment
· Appreciation for how each team contributes to overall business performance
· Understanding of interdependencies and process flows across departments
· Ability to identify and resolve cross-functional bottlenecks
+ Translate complex data insights into actionable business strategies
+ Provide analytical support for high-impact business initiatives including revenue growth, customer retention, and operational efficiency
+ Identify opportunities for process improvements, cost savings, and risk mitigation using data insights
+ Knowledge of core business tools such as Salesforce, ServiceNow
AI & Innovation
+ Leverage advanced analytics and AI/ML techniques to uncover patterns, predict outcomes, and automate decision-making
+ Lead the integration of diverse data sources (structured and unstructured) to create a unified analytics environment
+ Evaluate and implement new AI technologies and tools (e.g., generative AI, LLMs, Databricks and DataGenie) to drive innovation and efficiency
+ Stay abreast of emerging trends in data analytics and AI and guide the team and overall organization in adopting relevant advancements
Requirements
+ 8+ years in analytics leadership roles, managing cross-functional data teams
+ Proven ability to influence senior stakeholders and drive data-driven decisions
+ Excellent interpersonal, communication, and stakeholder management skills
+ Expert-level SQL for complex data querying and transformation, data modeling, and ETL processes
+ Strong command of data modeling and data visualization tools (e.g. Power BI, Tableau)
+ Experience with cloud-based data platforms (e.g., Snowflake, BigQuery, Azure Synapse)
+ Strong understanding of business operations, KPIs, customer, and financial metrics
+ Ability to connect data insights to business strategy and ROI
+ Experience working across functions such as product, market planning, sales, operations, product implementation, and finance
+ Exceptional business acumen and experience working closely with cross-functional business leaders
+ Excellent communication and storytelling skills, with the ability to influence and engage stakeholders at all levels
+ Hands-on experience with AI/ML tools and frameworks (e.g. Copilot Analyst/Researcher, Databricks/DataGenie)
+ Familiarity with GenAI and LLMs (e.g., OpenAI) and how they can be integrated into business workflows
+ Understanding of responsible AI principles and data ethics
+ Advanced Python skills for data analysis, modeling, and ML
+ Experience applying statistical modeling and machine learning
U.S. National Base Pay Range: $116,000 - $15,500. Geographic differentials may apply in some locations to better reflect local market rates.
If performed in Ohio, the pay range is 110,200 - 204,700.
This job is eligible for an annual incentive bonus.
We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
● Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits
● Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan
● Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs
● Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity
● Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits
● Health Savings, Health Care, Dependent Care and Commuter Spending Accounts
● In addition to annual Paid Time Off, we offer up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact .
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here .
Please read our Candidate Privacy Policy .
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
USA Job Seekers:
EEO Know Your Rights .
RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive.
Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions.
Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.
View Now
3
Senior Manager Data Analytics & Business Intelligence
30309 Midtown Atlanta, Georgia
RELX INC
Posted 4 days ago
Job Viewed
Job Description
About the Business
LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below, the Role
The Senior Manager of Data Analytics & Business Intelligence (BI) will lead a high-performing team of data professionals. This role requires a strong leader with a deep technical background, sharp business acumen, and a passion for leveraging modern AI technologies to drive business outcomes. The individual will partner closely with cross-functional teams to design data-driven strategies, develop scalable analytics solutions, and enhance our BI capabilities to support decision-making at all levels of the organization.
Ideal candidate can be remote or hybrid from our Dayton, OH, Boca Raton, FL or Alpharetta, GA offices for onsite meetings as needed.
Responsibilities
Leadership & Strategy
+ Lead, mentor, and grow a team of data analysts and BI developers
+ Set clear performance goals, provide coaching, and support career development
+ Foster a culture of curiosity, innovation, and continuous improvement
+ Define and execute the analytics projects aligned with organizational goals and enterprise-wide strategic initiatives and programs
+ Foster a data-driven culture across the organization through stakeholder engagement and data literacy initiatives
+ Effectively navigate a matrixed organization to collaborate with stakeholders, sponsors, and executive leadership to define key performance indicators (KPIs) and reporting standards
Technical Execution
+ Oversee the design, development, and maintenance of robust scalable data models, dashboards, and reports using modern BI tools (e.g. SQL, Power BI, Tableau, GitHub)
+ Ensure high data quality and integrity by driving data governance and best practices
+ Partner with business and operations teams to build scalable data pipelines and optimize data infrastructure
+ Collaborate with the organization Enterprise Data Management teams to ensure robust data governance, security, and quality
+ Lead the integration of diverse data sources (structured and unstructured) to create a unified analytics environment
Business Acumen
+ Lead the integration of diverse data sources (structured and unstructured) to create a unified analytics environment
· Appreciation for how each team contributes to overall business performance
· Understanding of interdependencies and process flows across departments
· Ability to identify and resolve cross-functional bottlenecks
+ Translate complex data insights into actionable business strategies
+ Provide analytical support for high-impact business initiatives including revenue growth, customer retention, and operational efficiency
+ Identify opportunities for process improvements, cost savings, and risk mitigation using data insights
+ Knowledge of core business tools such as Salesforce, ServiceNow
AI & Innovation
+ Leverage advanced analytics and AI/ML techniques to uncover patterns, predict outcomes, and automate decision-making
+ Lead the integration of diverse data sources (structured and unstructured) to create a unified analytics environment
+ Evaluate and implement new AI technologies and tools (e.g., generative AI, LLMs, Databricks and DataGenie) to drive innovation and efficiency
+ Stay abreast of emerging trends in data analytics and AI and guide the team and overall organization in adopting relevant advancements
Requirements
+ 8+ years in analytics leadership roles, managing cross-functional data teams
+ Proven ability to influence senior stakeholders and drive data-driven decisions
+ Excellent interpersonal, communication, and stakeholder management skills
+ Expert-level SQL for complex data querying and transformation, data modeling, and ETL processes
+ Strong command of data modeling and data visualization tools (e.g. Power BI, Tableau)
+ Experience with cloud-based data platforms (e.g., Snowflake, BigQuery, Azure Synapse)
+ Strong understanding of business operations, KPIs, customer, and financial metrics
+ Ability to connect data insights to business strategy and ROI
+ Experience working across functions such as product, market planning, sales, operations, product implementation, and finance
+ Exceptional business acumen and experience working closely with cross-functional business leaders
+ Excellent communication and storytelling skills, with the ability to influence and engage stakeholders at all levels
+ Hands-on experience with AI/ML tools and frameworks (e.g. Copilot Analyst/Researcher, Databricks/DataGenie)
+ Familiarity with GenAI and LLMs (e.g., OpenAI) and how they can be integrated into business workflows
+ Understanding of responsible AI principles and data ethics
+ Advanced Python skills for data analysis, modeling, and ML
+ Experience applying statistical modeling and machine learning
U.S. National Base Pay Range: $116,000 - $15,500. Geographic differentials may apply in some locations to better reflect local market rates.
If performed in Ohio, the pay range is 110,200 - 204,700.
This job is eligible for an annual incentive bonus.
We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
● Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits
● Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan
● Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs
● Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity
● Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits
● Health Savings, Health Care, Dependent Care and Commuter Spending Accounts
● In addition to annual Paid Time Off, we offer up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact .
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here .
Please read our Candidate Privacy Policy .
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
USA Job Seekers:
EEO Know Your Rights .
RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive.
Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions.
Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.
LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below, the Role
The Senior Manager of Data Analytics & Business Intelligence (BI) will lead a high-performing team of data professionals. This role requires a strong leader with a deep technical background, sharp business acumen, and a passion for leveraging modern AI technologies to drive business outcomes. The individual will partner closely with cross-functional teams to design data-driven strategies, develop scalable analytics solutions, and enhance our BI capabilities to support decision-making at all levels of the organization.
Ideal candidate can be remote or hybrid from our Dayton, OH, Boca Raton, FL or Alpharetta, GA offices for onsite meetings as needed.
Responsibilities
Leadership & Strategy
+ Lead, mentor, and grow a team of data analysts and BI developers
+ Set clear performance goals, provide coaching, and support career development
+ Foster a culture of curiosity, innovation, and continuous improvement
+ Define and execute the analytics projects aligned with organizational goals and enterprise-wide strategic initiatives and programs
+ Foster a data-driven culture across the organization through stakeholder engagement and data literacy initiatives
+ Effectively navigate a matrixed organization to collaborate with stakeholders, sponsors, and executive leadership to define key performance indicators (KPIs) and reporting standards
Technical Execution
+ Oversee the design, development, and maintenance of robust scalable data models, dashboards, and reports using modern BI tools (e.g. SQL, Power BI, Tableau, GitHub)
+ Ensure high data quality and integrity by driving data governance and best practices
+ Partner with business and operations teams to build scalable data pipelines and optimize data infrastructure
+ Collaborate with the organization Enterprise Data Management teams to ensure robust data governance, security, and quality
+ Lead the integration of diverse data sources (structured and unstructured) to create a unified analytics environment
Business Acumen
+ Lead the integration of diverse data sources (structured and unstructured) to create a unified analytics environment
· Appreciation for how each team contributes to overall business performance
· Understanding of interdependencies and process flows across departments
· Ability to identify and resolve cross-functional bottlenecks
+ Translate complex data insights into actionable business strategies
+ Provide analytical support for high-impact business initiatives including revenue growth, customer retention, and operational efficiency
+ Identify opportunities for process improvements, cost savings, and risk mitigation using data insights
+ Knowledge of core business tools such as Salesforce, ServiceNow
AI & Innovation
+ Leverage advanced analytics and AI/ML techniques to uncover patterns, predict outcomes, and automate decision-making
+ Lead the integration of diverse data sources (structured and unstructured) to create a unified analytics environment
+ Evaluate and implement new AI technologies and tools (e.g., generative AI, LLMs, Databricks and DataGenie) to drive innovation and efficiency
+ Stay abreast of emerging trends in data analytics and AI and guide the team and overall organization in adopting relevant advancements
Requirements
+ 8+ years in analytics leadership roles, managing cross-functional data teams
+ Proven ability to influence senior stakeholders and drive data-driven decisions
+ Excellent interpersonal, communication, and stakeholder management skills
+ Expert-level SQL for complex data querying and transformation, data modeling, and ETL processes
+ Strong command of data modeling and data visualization tools (e.g. Power BI, Tableau)
+ Experience with cloud-based data platforms (e.g., Snowflake, BigQuery, Azure Synapse)
+ Strong understanding of business operations, KPIs, customer, and financial metrics
+ Ability to connect data insights to business strategy and ROI
+ Experience working across functions such as product, market planning, sales, operations, product implementation, and finance
+ Exceptional business acumen and experience working closely with cross-functional business leaders
+ Excellent communication and storytelling skills, with the ability to influence and engage stakeholders at all levels
+ Hands-on experience with AI/ML tools and frameworks (e.g. Copilot Analyst/Researcher, Databricks/DataGenie)
+ Familiarity with GenAI and LLMs (e.g., OpenAI) and how they can be integrated into business workflows
+ Understanding of responsible AI principles and data ethics
+ Advanced Python skills for data analysis, modeling, and ML
+ Experience applying statistical modeling and machine learning
U.S. National Base Pay Range: $116,000 - $15,500. Geographic differentials may apply in some locations to better reflect local market rates.
If performed in Ohio, the pay range is 110,200 - 204,700.
This job is eligible for an annual incentive bonus.
We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
● Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits
● Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan
● Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs
● Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity
● Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits
● Health Savings, Health Care, Dependent Care and Commuter Spending Accounts
● In addition to annual Paid Time Off, we offer up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact .
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here .
Please read our Candidate Privacy Policy .
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
USA Job Seekers:
EEO Know Your Rights .
RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive.
Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions.
Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.
View Now
4
Senior Manager Data Analytics & Business Intelligence
33434 Boca Del Mar, Florida
RELX INC
Posted 4 days ago
Job Viewed
Job Description
About the Business
LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below, the Role
The Senior Manager of Data Analytics & Business Intelligence (BI) will lead a high-performing team of data professionals. This role requires a strong leader with a deep technical background, sharp business acumen, and a passion for leveraging modern AI technologies to drive business outcomes. The individual will partner closely with cross-functional teams to design data-driven strategies, develop scalable analytics solutions, and enhance our BI capabilities to support decision-making at all levels of the organization.
Ideal candidate can be remote or hybrid from our Dayton, OH, Boca Raton, FL or Alpharetta, GA offices for onsite meetings as needed.
Responsibilities
Leadership & Strategy
+ Lead, mentor, and grow a team of data analysts and BI developers
+ Set clear performance goals, provide coaching, and support career development
+ Foster a culture of curiosity, innovation, and continuous improvement
+ Define and execute the analytics projects aligned with organizational goals and enterprise-wide strategic initiatives and programs
+ Foster a data-driven culture across the organization through stakeholder engagement and data literacy initiatives
+ Effectively navigate a matrixed organization to collaborate with stakeholders, sponsors, and executive leadership to define key performance indicators (KPIs) and reporting standards
Technical Execution
+ Oversee the design, development, and maintenance of robust scalable data models, dashboards, and reports using modern BI tools (e.g. SQL, Power BI, Tableau, GitHub)
+ Ensure high data quality and integrity by driving data governance and best practices
+ Partner with business and operations teams to build scalable data pipelines and optimize data infrastructure
+ Collaborate with the organization Enterprise Data Management teams to ensure robust data governance, security, and quality
+ Lead the integration of diverse data sources (structured and unstructured) to create a unified analytics environment
Business Acumen
+ Lead the integration of diverse data sources (structured and unstructured) to create a unified analytics environment
· Appreciation for how each team contributes to overall business performance
· Understanding of interdependencies and process flows across departments
· Ability to identify and resolve cross-functional bottlenecks
+ Translate complex data insights into actionable business strategies
+ Provide analytical support for high-impact business initiatives including revenue growth, customer retention, and operational efficiency
+ Identify opportunities for process improvements, cost savings, and risk mitigation using data insights
+ Knowledge of core business tools such as Salesforce, ServiceNow
AI & Innovation
+ Leverage advanced analytics and AI/ML techniques to uncover patterns, predict outcomes, and automate decision-making
+ Lead the integration of diverse data sources (structured and unstructured) to create a unified analytics environment
+ Evaluate and implement new AI technologies and tools (e.g., generative AI, LLMs, Databricks and DataGenie) to drive innovation and efficiency
+ Stay abreast of emerging trends in data analytics and AI and guide the team and overall organization in adopting relevant advancements
Requirements
+ 8+ years in analytics leadership roles, managing cross-functional data teams
+ Proven ability to influence senior stakeholders and drive data-driven decisions
+ Excellent interpersonal, communication, and stakeholder management skills
+ Expert-level SQL for complex data querying and transformation, data modeling, and ETL processes
+ Strong command of data modeling and data visualization tools (e.g. Power BI, Tableau)
+ Experience with cloud-based data platforms (e.g., Snowflake, BigQuery, Azure Synapse)
+ Strong understanding of business operations, KPIs, customer, and financial metrics
+ Ability to connect data insights to business strategy and ROI
+ Experience working across functions such as product, market planning, sales, operations, product implementation, and finance
+ Exceptional business acumen and experience working closely with cross-functional business leaders
+ Excellent communication and storytelling skills, with the ability to influence and engage stakeholders at all levels
+ Hands-on experience with AI/ML tools and frameworks (e.g. Copilot Analyst/Researcher, Databricks/DataGenie)
+ Familiarity with GenAI and LLMs (e.g., OpenAI) and how they can be integrated into business workflows
+ Understanding of responsible AI principles and data ethics
+ Advanced Python skills for data analysis, modeling, and ML
+ Experience applying statistical modeling and machine learning
U.S. National Base Pay Range: $116,000 - $15,500. Geographic differentials may apply in some locations to better reflect local market rates.
If performed in Ohio, the pay range is 110,200 - 204,700.
This job is eligible for an annual incentive bonus.
We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
● Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits
● Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan
● Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs
● Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity
● Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits
● Health Savings, Health Care, Dependent Care and Commuter Spending Accounts
● In addition to annual Paid Time Off, we offer up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact .
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here .
Please read our Candidate Privacy Policy .
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
USA Job Seekers:
EEO Know Your Rights .
RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive.
Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions.
Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.
LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below, the Role
The Senior Manager of Data Analytics & Business Intelligence (BI) will lead a high-performing team of data professionals. This role requires a strong leader with a deep technical background, sharp business acumen, and a passion for leveraging modern AI technologies to drive business outcomes. The individual will partner closely with cross-functional teams to design data-driven strategies, develop scalable analytics solutions, and enhance our BI capabilities to support decision-making at all levels of the organization.
Ideal candidate can be remote or hybrid from our Dayton, OH, Boca Raton, FL or Alpharetta, GA offices for onsite meetings as needed.
Responsibilities
Leadership & Strategy
+ Lead, mentor, and grow a team of data analysts and BI developers
+ Set clear performance goals, provide coaching, and support career development
+ Foster a culture of curiosity, innovation, and continuous improvement
+ Define and execute the analytics projects aligned with organizational goals and enterprise-wide strategic initiatives and programs
+ Foster a data-driven culture across the organization through stakeholder engagement and data literacy initiatives
+ Effectively navigate a matrixed organization to collaborate with stakeholders, sponsors, and executive leadership to define key performance indicators (KPIs) and reporting standards
Technical Execution
+ Oversee the design, development, and maintenance of robust scalable data models, dashboards, and reports using modern BI tools (e.g. SQL, Power BI, Tableau, GitHub)
+ Ensure high data quality and integrity by driving data governance and best practices
+ Partner with business and operations teams to build scalable data pipelines and optimize data infrastructure
+ Collaborate with the organization Enterprise Data Management teams to ensure robust data governance, security, and quality
+ Lead the integration of diverse data sources (structured and unstructured) to create a unified analytics environment
Business Acumen
+ Lead the integration of diverse data sources (structured and unstructured) to create a unified analytics environment
· Appreciation for how each team contributes to overall business performance
· Understanding of interdependencies and process flows across departments
· Ability to identify and resolve cross-functional bottlenecks
+ Translate complex data insights into actionable business strategies
+ Provide analytical support for high-impact business initiatives including revenue growth, customer retention, and operational efficiency
+ Identify opportunities for process improvements, cost savings, and risk mitigation using data insights
+ Knowledge of core business tools such as Salesforce, ServiceNow
AI & Innovation
+ Leverage advanced analytics and AI/ML techniques to uncover patterns, predict outcomes, and automate decision-making
+ Lead the integration of diverse data sources (structured and unstructured) to create a unified analytics environment
+ Evaluate and implement new AI technologies and tools (e.g., generative AI, LLMs, Databricks and DataGenie) to drive innovation and efficiency
+ Stay abreast of emerging trends in data analytics and AI and guide the team and overall organization in adopting relevant advancements
Requirements
+ 8+ years in analytics leadership roles, managing cross-functional data teams
+ Proven ability to influence senior stakeholders and drive data-driven decisions
+ Excellent interpersonal, communication, and stakeholder management skills
+ Expert-level SQL for complex data querying and transformation, data modeling, and ETL processes
+ Strong command of data modeling and data visualization tools (e.g. Power BI, Tableau)
+ Experience with cloud-based data platforms (e.g., Snowflake, BigQuery, Azure Synapse)
+ Strong understanding of business operations, KPIs, customer, and financial metrics
+ Ability to connect data insights to business strategy and ROI
+ Experience working across functions such as product, market planning, sales, operations, product implementation, and finance
+ Exceptional business acumen and experience working closely with cross-functional business leaders
+ Excellent communication and storytelling skills, with the ability to influence and engage stakeholders at all levels
+ Hands-on experience with AI/ML tools and frameworks (e.g. Copilot Analyst/Researcher, Databricks/DataGenie)
+ Familiarity with GenAI and LLMs (e.g., OpenAI) and how they can be integrated into business workflows
+ Understanding of responsible AI principles and data ethics
+ Advanced Python skills for data analysis, modeling, and ML
+ Experience applying statistical modeling and machine learning
U.S. National Base Pay Range: $116,000 - $15,500. Geographic differentials may apply in some locations to better reflect local market rates.
If performed in Ohio, the pay range is 110,200 - 204,700.
This job is eligible for an annual incentive bonus.
We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
● Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits
● Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan
● Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs
● Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity
● Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits
● Health Savings, Health Care, Dependent Care and Commuter Spending Accounts
● In addition to annual Paid Time Off, we offer up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact .
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here .
Please read our Candidate Privacy Policy .
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
USA Job Seekers:
EEO Know Your Rights .
RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive.
Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions.
Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.
View Now
5
Senior Manager Data Analytics & Business Intelligence
45410 Dayton, Ohio
RELX INC
Posted 18 days ago
Job Viewed
Job Description
About the Business
LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below, the Role
The Senior Manager of Data Analytics & Business Intelligence (BI) will lead a high-performing team of data professionals. This role requires a strong leader with a deep technical background, sharp business acumen, and a passion for leveraging modern AI technologies to drive business outcomes. The individual will partner closely with cross-functional teams to design data-driven strategies, develop scalable analytics solutions, and enhance our BI capabilities to support decision-making at all levels of the organization.
Ideal candidate can be remote or hybrid from our Dayton, OH, Boca Raton, FL or Alpharetta, GA offices for onsite meetings as needed.
Responsibilities
Leadership & Strategy
+ Lead, mentor, and grow a team of data analysts and BI developers
+ Set clear performance goals, provide coaching, and support career development
+ Foster a culture of curiosity, innovation, and continuous improvement
+ Define and execute the analytics projects aligned with organizational goals and enterprise-wide strategic initiatives and programs
+ Foster a data-driven culture across the organization through stakeholder engagement and data literacy initiatives
+ Effectively navigate a matrixed organization to collaborate with stakeholders, sponsors, and executive leadership to define key performance indicators (KPIs) and reporting standards
Technical Execution
+ Oversee the design, development, and maintenance of robust scalable data models, dashboards, and reports using modern BI tools (e.g. SQL, Power BI, Tableau, GitHub)
+ Ensure high data quality and integrity by driving data governance and best practices
+ Partner with business and operations teams to build scalable data pipelines and optimize data infrastructure
+ Collaborate with the organization Enterprise Data Management teams to ensure robust data governance, security, and quality
+ Lead the integration of diverse data sources (structured and unstructured) to create a unified analytics environment
Business Acumen
+ Lead the integration of diverse data sources (structured and unstructured) to create a unified analytics environment
· Appreciation for how each team contributes to overall business performance
· Understanding of interdependencies and process flows across departments
· Ability to identify and resolve cross-functional bottlenecks
+ Translate complex data insights into actionable business strategies
+ Provide analytical support for high-impact business initiatives including revenue growth, customer retention, and operational efficiency
+ Identify opportunities for process improvements, cost savings, and risk mitigation using data insights
+ Knowledge of core business tools such as Salesforce, ServiceNow
AI & Innovation
+ Leverage advanced analytics and AI/ML techniques to uncover patterns, predict outcomes, and automate decision-making
+ Lead the integration of diverse data sources (structured and unstructured) to create a unified analytics environment
+ Evaluate and implement new AI technologies and tools (e.g., generative AI, LLMs, Databricks and DataGenie) to drive innovation and efficiency
+ Stay abreast of emerging trends in data analytics and AI and guide the team and overall organization in adopting relevant advancements
Requirements
+ 8+ years in analytics leadership roles, managing cross-functional data teams
+ Proven ability to influence senior stakeholders and drive data-driven decisions
+ Excellent interpersonal, communication, and stakeholder management skills
+ Expert-level SQL for complex data querying and transformation, data modeling, and ETL processes
+ Strong command of data modeling and data visualization tools (e.g. Power BI, Tableau)
+ Experience with cloud-based data platforms (e.g., Snowflake, BigQuery, Azure Synapse)
+ Strong understanding of business operations, KPIs, customer, and financial metrics
+ Ability to connect data insights to business strategy and ROI
+ Experience working across functions such as product, market planning, sales, operations, product implementation, and finance
+ Exceptional business acumen and experience working closely with cross-functional business leaders
+ Excellent communication and storytelling skills, with the ability to influence and engage stakeholders at all levels
+ Hands-on experience with AI/ML tools and frameworks (e.g. Copilot Analyst/Researcher, Databricks/DataGenie)
+ Familiarity with GenAI and LLMs (e.g., OpenAI) and how they can be integrated into business workflows
+ Understanding of responsible AI principles and data ethics
+ Advanced Python skills for data analysis, modeling, and ML
+ Experience applying statistical modeling and machine learning
U.S. National Base Pay Range: $116,000 - $15,500. Geographic differentials may apply in some locations to better reflect local market rates.
If performed in Ohio, the pay range is 110,200 - 204,700.
This job is eligible for an annual incentive bonus.
We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
● Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits
● Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan
● Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs
● Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity
● Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits
● Health Savings, Health Care, Dependent Care and Commuter Spending Accounts
● In addition to annual Paid Time Off, we offer up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact .
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here .
Please read our Candidate Privacy Policy .
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
USA Job Seekers:
EEO Know Your Rights .
RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive.
Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions.
Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.
LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below, the Role
The Senior Manager of Data Analytics & Business Intelligence (BI) will lead a high-performing team of data professionals. This role requires a strong leader with a deep technical background, sharp business acumen, and a passion for leveraging modern AI technologies to drive business outcomes. The individual will partner closely with cross-functional teams to design data-driven strategies, develop scalable analytics solutions, and enhance our BI capabilities to support decision-making at all levels of the organization.
Ideal candidate can be remote or hybrid from our Dayton, OH, Boca Raton, FL or Alpharetta, GA offices for onsite meetings as needed.
Responsibilities
Leadership & Strategy
+ Lead, mentor, and grow a team of data analysts and BI developers
+ Set clear performance goals, provide coaching, and support career development
+ Foster a culture of curiosity, innovation, and continuous improvement
+ Define and execute the analytics projects aligned with organizational goals and enterprise-wide strategic initiatives and programs
+ Foster a data-driven culture across the organization through stakeholder engagement and data literacy initiatives
+ Effectively navigate a matrixed organization to collaborate with stakeholders, sponsors, and executive leadership to define key performance indicators (KPIs) and reporting standards
Technical Execution
+ Oversee the design, development, and maintenance of robust scalable data models, dashboards, and reports using modern BI tools (e.g. SQL, Power BI, Tableau, GitHub)
+ Ensure high data quality and integrity by driving data governance and best practices
+ Partner with business and operations teams to build scalable data pipelines and optimize data infrastructure
+ Collaborate with the organization Enterprise Data Management teams to ensure robust data governance, security, and quality
+ Lead the integration of diverse data sources (structured and unstructured) to create a unified analytics environment
Business Acumen
+ Lead the integration of diverse data sources (structured and unstructured) to create a unified analytics environment
· Appreciation for how each team contributes to overall business performance
· Understanding of interdependencies and process flows across departments
· Ability to identify and resolve cross-functional bottlenecks
+ Translate complex data insights into actionable business strategies
+ Provide analytical support for high-impact business initiatives including revenue growth, customer retention, and operational efficiency
+ Identify opportunities for process improvements, cost savings, and risk mitigation using data insights
+ Knowledge of core business tools such as Salesforce, ServiceNow
AI & Innovation
+ Leverage advanced analytics and AI/ML techniques to uncover patterns, predict outcomes, and automate decision-making
+ Lead the integration of diverse data sources (structured and unstructured) to create a unified analytics environment
+ Evaluate and implement new AI technologies and tools (e.g., generative AI, LLMs, Databricks and DataGenie) to drive innovation and efficiency
+ Stay abreast of emerging trends in data analytics and AI and guide the team and overall organization in adopting relevant advancements
Requirements
+ 8+ years in analytics leadership roles, managing cross-functional data teams
+ Proven ability to influence senior stakeholders and drive data-driven decisions
+ Excellent interpersonal, communication, and stakeholder management skills
+ Expert-level SQL for complex data querying and transformation, data modeling, and ETL processes
+ Strong command of data modeling and data visualization tools (e.g. Power BI, Tableau)
+ Experience with cloud-based data platforms (e.g., Snowflake, BigQuery, Azure Synapse)
+ Strong understanding of business operations, KPIs, customer, and financial metrics
+ Ability to connect data insights to business strategy and ROI
+ Experience working across functions such as product, market planning, sales, operations, product implementation, and finance
+ Exceptional business acumen and experience working closely with cross-functional business leaders
+ Excellent communication and storytelling skills, with the ability to influence and engage stakeholders at all levels
+ Hands-on experience with AI/ML tools and frameworks (e.g. Copilot Analyst/Researcher, Databricks/DataGenie)
+ Familiarity with GenAI and LLMs (e.g., OpenAI) and how they can be integrated into business workflows
+ Understanding of responsible AI principles and data ethics
+ Advanced Python skills for data analysis, modeling, and ML
+ Experience applying statistical modeling and machine learning
U.S. National Base Pay Range: $116,000 - $15,500. Geographic differentials may apply in some locations to better reflect local market rates.
If performed in Ohio, the pay range is 110,200 - 204,700.
This job is eligible for an annual incentive bonus.
We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
● Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits
● Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan
● Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs
● Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity
● Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits
● Health Savings, Health Care, Dependent Care and Commuter Spending Accounts
● In addition to annual Paid Time Off, we offer up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact .
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here .
Please read our Candidate Privacy Policy .
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
USA Job Seekers:
EEO Know Your Rights .
RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive.
Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions.
Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.
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6
Data Analytics
New Jersey, New Jersey
InfoVision Inc.
Posted today
Job Viewed
Job Description
Overview :
- While the focus is on dashboards on Tableau or equivalent (including the SQL required for that and data extraction),
- Looking for some Map based analytics and geospatial capabilities - directionally.
Required Skills & Experience
- 10+ years of IT experience.
- Hands-on experience with Tableau dashboard design and development.
- Strong expertise in geospatial analytics, map creation, and GIS concepts.
- Proficiency with CARTO (spatial SQL, data ingestion, map building, location intelligence).
- Proficiency in SQL for data extraction and spatial queries.
- Familiarity with spatial data formats (shapefiles, geoJSON, KML).
- Strong problem-solving and storytelling ability with data.
Preferred Skills
- Experience with Python or R for geospatial analysis and automation.
- Knowledge of Tableau Prep or ETL pipelines for spatial + business data.
- Familiarity with cloud platforms (Snowflake, BigQuery, Redshift, AWS, Azure).
- Exposure to advanced spatial statistics or predictive modeling.
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7
Data Analytics Assistant
Remote
$25 - $34 per hour
earnestexpressllc
Posted 9 days ago
Job Viewed
Job Description
Data Analytics Assistant (Remote)
Company: Earnest Express LLC
Location: Remote (Work From Home)
Employment Type: Full-Time / Part-Time
About Earnest Express LLC:
Earnest Express LLC is a dependable logistics and freight delivery company focused on excellence, innovation, and reliability. We are dedicated to using technology and data-driven solutions to improve operational efficiency, delivery accuracy, and customer satisfaction. As we expand, we are looking for a skilled Data Analytics Assistant to help support our logistics data team remotely.
Position Summary:
The Data Analytics Assistant will support the company’s analytical and reporting needs by organizing data, creating visual reports, and identifying operational trends. This role is ideal for someone who enjoys working with numbers, has an analytical mindset, and wants to grow within the logistics and operations industry.
Key Responsibilities:
- Collect, organize, and analyze data from logistics, tracking, and customer systems.
- Create charts, dashboards, and summaries to support management decision-making.
- Track performance indicators such as delivery times, customer satisfaction, and cost efficiency.
- Maintain accuracy and consistency of operational data across multiple sources.
- Assist with preparing monthly and weekly reports for management review.
- Identify trends and provide insights to help improve delivery operations.
- Collaborate with cross-functional teams to implement data-driven improvements
Required Skills & Qualifications:
- Strong analytical and problem-solving skills.
- Proficiency in Microsoft Excel, Google Sheets, or similar data tools.
- Familiarity with visualization software such as Power BI, Google Data Studio, or Tableau (preferred).
- Basic understanding of data structures, formulas, and pivot tables.
- High attention to detail and accuracy in reporting.
- Excellent written and verbal communication skills.
- Ability to work independently in a remote environment.
Experience Requirements:
- 1–2 years of experience in data analysis, reporting, or administrative support preferred.
- Prior experience in logistics, transportation, or e-commerce analytics is a plus.
- Remote work experience and comfort using online collaboration tools (Zoom, Slack, etc.) preferred.
Education Requirements:
- Associate’s or Bachelor’s degree in Data Analytics, Business, Statistics, Computer Science, or a related field (preferred).
- Certifications in Excel, Data Analytics, or Reporting tools are an added advantage.
Work Schedule & Benefits:
- Remote and flexible working hours.
- Training and career growth opportunities in data analytics.
- Competitive pay with performance-based bonuses.
- Collaborative remote work culture.
Company Details
Earnest Express LLC is a reliable logistics and delivery company dedicated to providing fast, secure, and affordable transportation services across local and interstate routes. We specialize in ensuring timely movement of goods, parcels, and freight while maintaining exceptional customer satisfaction through transparency and professionalism. Core Services: Local & Long-Distance Delivery – Safe and timely delivery of packages, equipment, and goods. Freight Transportation – Reliable logistics support for small and large businesses. Same-Day & Expedited Shipping – Fast-track services for urgent deliveries. E-commerce Fulfillment – Seamless order pickup, packaging, and drop-off for online sellers. Warehouse & Distribution Support – Secure storage and coordinated dispatch services. Mission Statement: To deliver excellence with every mile — ensuring that every package, client, and delivery receives the highest level of care, efficiency, and reliability. Vision Statement: To become a leading logistics brand recognized for integrity, innovation, and outstanding delivery performance across the United States. Core Values: Integrity: Building trust through transparency and accountability. Speed: Delivering on time, every time. Safety: Ensuring secure handling of all goods. Customer Focus: Prioritizing every client’s needs with care and attention. Innovation: Using technology and creativity to enhance logistics efficiency.
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8
Data Analytics Manager
02133 Boston, Kentucky
Fox Rothschild LLP
Posted 4 days ago
Job Viewed
Job Description
**Description**
As a key member of the Knowledge Management and Innovation team, the Data Analytics Manager's primary role is to support the delivery of data driven legal solutions and analysis to internal and external clients. The manager is responsible for the Firm's data visualization platforms, reporting tools, data portal, and advanced analytics environment. The manager will support the workflow of projects and conduct hands-on analysis and solutioning, when applicable.
**ESSENTIAL FUNCTIONS:**
+ Data Strategy and Leadership
+ In conjunction with the Director of Data Analytics and Strategy, develop and execute the firm's data analytics roadmap, aligning with strategic business objectives and client service standards.
+ Lead, mentor and grow a team of data analysts and specialists within the Knowledge Management and Innovation department; foster a culture of innovation, collaboration and continuous improvement
+ Collaborate and partner with clients, attorneys, and other stakeholders to identify and deliver opportunities driven by data and quantitative analysis
+ Partner with the Firm's functional departments to analyze data and develop solutions to support business operational objectives of the Firm
+ Surface and support concepts for client-facing solutions that could be productized for the Firm
+ Communicate complex data concepts in clear, actionable terms to non-technical audiences.
+ Data Management and Analysis
+ Train and support end-users in data literacy, dashboard usage and self-service analytics.
+ Deliver regular and ad hoc reports, visualizations, and presentations to firm leadership, practice leaders and clients.
+ Identify trends, risks and opportunities to inform strategic planning, industry and client needs.
+ Collaborate with the firm's Accounting, IT and Pricing departments and other key stakeholders to create and implement data projects for the firm
+ Technical
+ Translate business requirements and unstructured business issues into data analytic problems and solutions
+ Develop data preparation, sample design, identify appropriate analytic and statistical methodology, and document process and results
+ Analyze and model structured data using advanced statistical methods, and implement software/algorithms to perform analysis
+ Perform machine learning, natural language, and statistical analysis methods as appropriate, such as classification, collaborative filtering, association rules, sentiment analysis, topic-modeling, time-series analysis
+ Perform explanatory data analysis, generate and test working hypotheses, prepare and analyze historical data, identify patterns and interpret results, and be able to explain to all levels of stakeholders
**ADDITIONAL FUNCTIONS:**
+ Other projects as assigned.
**QUALIFICATIONS (EXPERIENCE, KNOWLEDGE, SKILLS AND ABILITIES):**
**Education:**
+ Bachelor's degree, preferably in a business or technical discipline
+ Juris Doctor or Master's degree in data science, computer science, statistics, or engineering - preferred
**Experience:**
+ 5+ years of experience in a law firm or legal operations environment
+ At least 2 years in a data analytics role (or similar)
+ Preferred: Lean, Lean Six Sigma, PMP or similar certification preferred or the ability to demonstrate comparable experience and training in project management or process improvement
**Knowledge, Skills, & Abilities:**
+ Skills & Abilities
+ Strong verbal communication skills with the ability to explain and translate technical data analysis approaches and results to attorneys and business professionals
+ Ability to manage people and motivate them to accomplish their goals.
+ Strong supervisory, organizational and project management skills and ability to prioritize and multi-task with a high volume of work in a fast-paced environment.
+ Ability to work with detailed information accurately and efficiently while maintaining confidentiality.
+ Ability to develop collaborative relationships with a broad array of individuals; ability to explain/sell the needs of the Department/Practice.
+ Ability to build and maintain strong relationships and gain the trust of the attorneys and administrative staff.
+ Competence in setting structure especially where none exists
+ Knowledge
+ Strong business analysis skills and the ability to analyze information and think systematically
+ Strong practical problem-solving abilities using logic, analysis, creativity, follow through and client service skills; good judgment and strong decision-making skills, including the ability to understand complex situations, effectively analyze options and develop sound conclusions.
+ Experience with enterprise data visualization tools (e.g., MS Power BI, Tableau) and data design best practices; Understanding of user interface and user experience design
+ Experience with advanced analytics and data science (e.g., statistical programming, machine learning, classification models, natural language processing)
**WORK ENVIRONMENT & PHYSICAL DEMANDS:**
This job operates in a clerical, office setting. This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines.
**PHYSICAL REQUIREMENTS**
Sedentary work: Exertion of physical strength to lift, carry, push, pull, or otherwise move objects up to 10 pounds. Work involves sitting most of the time. Walking and standing is often necessary in carrying out job duties.
**VISUAL ACUITY**
Worker is required to have close visual acuity to perform an activity such as: preparing and analyzing data and figures; transcribing; viewing a computer terminal; extensive reading.
**DISCLAIMER**
_Fox Rothschild LLP is under no obligation to provide sponsorship for this position. Applicants must be currently authorized to work in the United States on a full-time basis now and in the future._
_The above is intended to describe the general content of and requirements for the performance of this job. It is not a contract or employment agreement and is not to be construed as an exhaustive statement of all functions, responsibilities, or requirements the employee may be required to perform, and the employee may be required to perform additional duties. Additionally, management reserves the right to review and revise the job description at any time. Employment with the firm is at-will. Employees must be able to satisfactorily perform all of the essential functions of the position with or without a reasonable accommodation. If an accommodation request would cause an undue hardship or a safety concern, the individual may not be eligible for the position._
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights ( notice from the Department of Labor.
As a key member of the Knowledge Management and Innovation team, the Data Analytics Manager's primary role is to support the delivery of data driven legal solutions and analysis to internal and external clients. The manager is responsible for the Firm's data visualization platforms, reporting tools, data portal, and advanced analytics environment. The manager will support the workflow of projects and conduct hands-on analysis and solutioning, when applicable.
**ESSENTIAL FUNCTIONS:**
+ Data Strategy and Leadership
+ In conjunction with the Director of Data Analytics and Strategy, develop and execute the firm's data analytics roadmap, aligning with strategic business objectives and client service standards.
+ Lead, mentor and grow a team of data analysts and specialists within the Knowledge Management and Innovation department; foster a culture of innovation, collaboration and continuous improvement
+ Collaborate and partner with clients, attorneys, and other stakeholders to identify and deliver opportunities driven by data and quantitative analysis
+ Partner with the Firm's functional departments to analyze data and develop solutions to support business operational objectives of the Firm
+ Surface and support concepts for client-facing solutions that could be productized for the Firm
+ Communicate complex data concepts in clear, actionable terms to non-technical audiences.
+ Data Management and Analysis
+ Train and support end-users in data literacy, dashboard usage and self-service analytics.
+ Deliver regular and ad hoc reports, visualizations, and presentations to firm leadership, practice leaders and clients.
+ Identify trends, risks and opportunities to inform strategic planning, industry and client needs.
+ Collaborate with the firm's Accounting, IT and Pricing departments and other key stakeholders to create and implement data projects for the firm
+ Technical
+ Translate business requirements and unstructured business issues into data analytic problems and solutions
+ Develop data preparation, sample design, identify appropriate analytic and statistical methodology, and document process and results
+ Analyze and model structured data using advanced statistical methods, and implement software/algorithms to perform analysis
+ Perform machine learning, natural language, and statistical analysis methods as appropriate, such as classification, collaborative filtering, association rules, sentiment analysis, topic-modeling, time-series analysis
+ Perform explanatory data analysis, generate and test working hypotheses, prepare and analyze historical data, identify patterns and interpret results, and be able to explain to all levels of stakeholders
**ADDITIONAL FUNCTIONS:**
+ Other projects as assigned.
**QUALIFICATIONS (EXPERIENCE, KNOWLEDGE, SKILLS AND ABILITIES):**
**Education:**
+ Bachelor's degree, preferably in a business or technical discipline
+ Juris Doctor or Master's degree in data science, computer science, statistics, or engineering - preferred
**Experience:**
+ 5+ years of experience in a law firm or legal operations environment
+ At least 2 years in a data analytics role (or similar)
+ Preferred: Lean, Lean Six Sigma, PMP or similar certification preferred or the ability to demonstrate comparable experience and training in project management or process improvement
**Knowledge, Skills, & Abilities:**
+ Skills & Abilities
+ Strong verbal communication skills with the ability to explain and translate technical data analysis approaches and results to attorneys and business professionals
+ Ability to manage people and motivate them to accomplish their goals.
+ Strong supervisory, organizational and project management skills and ability to prioritize and multi-task with a high volume of work in a fast-paced environment.
+ Ability to work with detailed information accurately and efficiently while maintaining confidentiality.
+ Ability to develop collaborative relationships with a broad array of individuals; ability to explain/sell the needs of the Department/Practice.
+ Ability to build and maintain strong relationships and gain the trust of the attorneys and administrative staff.
+ Competence in setting structure especially where none exists
+ Knowledge
+ Strong business analysis skills and the ability to analyze information and think systematically
+ Strong practical problem-solving abilities using logic, analysis, creativity, follow through and client service skills; good judgment and strong decision-making skills, including the ability to understand complex situations, effectively analyze options and develop sound conclusions.
+ Experience with enterprise data visualization tools (e.g., MS Power BI, Tableau) and data design best practices; Understanding of user interface and user experience design
+ Experience with advanced analytics and data science (e.g., statistical programming, machine learning, classification models, natural language processing)
**WORK ENVIRONMENT & PHYSICAL DEMANDS:**
This job operates in a clerical, office setting. This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines.
**PHYSICAL REQUIREMENTS**
Sedentary work: Exertion of physical strength to lift, carry, push, pull, or otherwise move objects up to 10 pounds. Work involves sitting most of the time. Walking and standing is often necessary in carrying out job duties.
**VISUAL ACUITY**
Worker is required to have close visual acuity to perform an activity such as: preparing and analyzing data and figures; transcribing; viewing a computer terminal; extensive reading.
**DISCLAIMER**
_Fox Rothschild LLP is under no obligation to provide sponsorship for this position. Applicants must be currently authorized to work in the United States on a full-time basis now and in the future._
_The above is intended to describe the general content of and requirements for the performance of this job. It is not a contract or employment agreement and is not to be construed as an exhaustive statement of all functions, responsibilities, or requirements the employee may be required to perform, and the employee may be required to perform additional duties. Additionally, management reserves the right to review and revise the job description at any time. Employment with the firm is at-will. Employees must be able to satisfactorily perform all of the essential functions of the position with or without a reasonable accommodation. If an accommodation request would cause an undue hardship or a safety concern, the individual may not be eligible for the position._
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights ( notice from the Department of Labor.
View Now
9