The demand for analytics professionals is growing across various sectors in the United States. Companies are seeking skilled individuals who can interpret data, provide insights, and drive strategic decision-making. Job opportunities exist for data analysts, business analysts, 12,403 Analytics jobs in the United States
Analytics Engineer, Data & Analytics
Posted 5 days ago
Job Viewed
Job Description
As an Analytics Engineer, you will serve as the critical link between data engineering and business analytics. You will be responsible for transforming raw data into clean, well-modeled datasets that are ready for analysis and reporting. This role requires a strong foundation in SQL, data modeling, and modern ELT practices, as well as a collaborative mindset to work closely with data engineers, analysts, PMO and business stakeholders.
Responsibilities
- Design, build, and maintain robust, scalable dbt models in our Snowflake data warehouse.
- Collaborate with data engineers to ensure upstream data pipelines are optimized for analytics use cases.
- Partner with analysts and business users to understand data needs and translate them into well-documented, reusable data models.
- Implement and enforce data quality checks, testing, and documentation standards.
- Contribute to the development of our internal data product framework, including metadata, lineage, and versioning.
- Support the adoption of tools like Sigma Computing, Tableau, and similar BI solutions for self-service analytics.
- Participate in agile ceremonies and cross-functional planning with product managers and engineering leads.
- Experience with working with source code repositories/version control in such tools as GitHub
- 3+ years of experience in analytics engineering, data engineering, or BI development.
- Proficiency in SQL and experience with dbt (or similar transformation frameworks).
- Hands-on experience with Snowflake or other cloud data warehouses.
- Familiarity with ELT tools such as Matillion, Airflow, Microsoft SSIS or similar.
- Experience with data visualization tools (e.g., Tableau, Sigma, Power BI).
- Strong understanding of dimensional modeling, data governance, and testing best practices.
- Good and working communication skills and a collaborative, team-first attitude.
- Experience working in media, entertainment, or content-driven organizations.
- Exposure to Python for scripting and automation.
- Familiarity with Git-based workflows and CI/CD for analytics code.
- Snowflake and/or cloud platform (eg, AWS, Azure) certifications are a plus
- Understanding of data privacy, security, and compliance in analytics environments.
Lionsgate (NYSE: LION) is one of the world's leading standalone, pure play, publicly traded content companies. It brings together diversified motion picture and television production and distribution businesses, a world-class portfolio of valuable brands and franchises, a talent management and production powerhouse and a more than 20,000-title film and television library, all driven by the studio's bold and entrepreneurial culture.
Our Benefits
- Full Coverage - Medical, Vision, and Dental
- Work/Life Balance - generous sick days, vacation days, holidays, and Impact Day
- 401(k) company matching
Compensation
$120,000 - $125,000
EEO Statement
Lionsgate is an equal employment opportunity employer. All employees and applicants are evaluated on the basis of their qualifications, consistent with applicable state and federal laws. In addition, Lionsgate will provide reasonable accommodations for qualified individuals with disabilities. Lionsgate will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable state and federal law.
Experimental Design/Statistical Analysis Researcher
Posted 3 days ago
Job Viewed
Job Description
+ Looking for a quantitative researcher with good understanding of statistical analysis.
**Responsibilities:**
+ Conduct qualitative and quantitative user studies, primarily in-lab usability and human factors research.
+ Perform multivariable statistical analyses (ANOVA, Mixed model analysis, linear & logistic regression, correlation) using SPSS.
+ User study moderation.
+ Administer questionnaires and surveys.
+ Assist other user researchers with various user research preparation activities.
+ Qualitative and quantitative data analysis/synthesis.
+ Basic user testing analyses.
**Experience:**
+ 3+ years of relevant experience.
+ Strong knowledge of experimental design and statistical analysis.
+ Experience with one or more of the following methods: usability studies, concept tests, benchmarks, diary studies, interviewing consumers (aka user interviews), field research, surveys.
**Skills:**
+ Quantitative Research.
+ Usability research.
+ KPI identification research.
+ ANCOVA/MANCOVA/ETA2/F-TEST.
+ SPSS/R/STATA/NVIVO/MATLAB/JAVA/GO
**Education:**
+ B.A./B.S. (Completed) in Human Factors, Psychology, HCI/Computer Science, or other related fields or equivalent practical experience.
**About US Tech Solutions:**
US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit ( .
US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Analytics Engineer, Recruiting Analytics
Posted 5 days ago
Job Viewed
Job Description
Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
We are seeking a talented Data Analyst to join our Recruiting Analytics team at Anthropic. In this role, you will transform data into actionable insights that drive strategic decision-making across our rapidly growing organization. You'll work closely with leadership and cross-functional teams to identify trends, measure performance, and optimize our people practices as we scale our mission-critical work in AI safety.
As a key member of our data-driven culture, you'll help ensure that our talent strategies are grounded in evidence and aligned with our goal of building reliable, interpretable, and steerable AI systems. This role offers the opportunity to make a significant impact on how we attract, develop, and retain the exceptional talent needed to advance AI safety.
Responsibilities:
Data Analysis & Insights
- Analyze complex datasets to identify trends, patterns, and opportunities across the employee lifecycle
- Conduct rigorous statistical analysis to support evidence-based decision-making for talent management initiatives
- Perform root cause analysis on people-related metrics to understand underlying drivers of organizational outcomes
- Design and execute research projects that advance our understanding of what drives employee success and satisfaction
- Come up with creative solutions to displaying data (going beyond the traditional dashboard, leveraging AI etc.)
- At the same time, create and maintain interactive dashboards and visualizations that help communicate complex data insights to key stakeholders
- Translate complex data analyses into clear, compelling narratives for both technical and non-technical audiences
- Convert insights into actionable recommendations and drive implementation of solutions
- Collaborate with company leaders to identify, track, and iterate key performance indicators (KPIs) for talent management
- Partner with stakeholders to define and scope people analytics projects that align with organizational goals
- Work directly with executives to understand business challenges and translate them into technical solutions
- Advise on best practices for integrating and analyzing data from various HR systems (e.g., Workday, ATS, surveys) and external sources
- Take ownership of diverse responsibilities from research projects to operational process implementation, root cause analysis, and program management
- Model downstream tables for custom reporting and analytics.
- Ensure data quality and integrity across recruiting analytics systems and processes
- Develop and maintain automated reporting solutions that scale with organizational growth
- Collaborate with engineering teams to improve data collection and storage practices
- Have 3-5 years of experience in data analysis, preferably with recruiting analytics, people analytics, or related fields
- Have additional experience in people operations or recruiting.
- Are proficient in SQL and experienced with data visualization tools (e.g., Tableau, Looker, Looker Studio, Power BI)
- Are comfortable working with messy or incomplete data
- Have strong statistical analysis skills and experience with programming languages such as Python or R
- Possess excellent communication skills and can translate complex analytical findings into actionable business insights
- Are results-oriented with a bias towards flexibility and impact
- Thrive in a fast-paced, collaborative environment and enjoy working closely with cross-functional teams
- Have experience working with HRIS systems and people data
- Care about ensuring that advanced AI systems are developed safely and are passionate about our mission
- Advanced degree in Statistics, Data Science, Psychology, Economics, or related quantitative field
- Experience with A/B testing and experimental design
- Previous experience in high-growth technology companies or startups
- Familiarity with data privacy regulations and ethical considerations in people analytics
- Experience with cloud-based data platforms (AWS, GCP) and modern data stack tools
- Modeling data and building dashboards to drive better decision making around Interviewer training and deeper understanding of interviewer capacity & capacity constraints.
- Conducting research on the effectiveness of our hiring processes and recommending improvements to reduce bias and improve candidate experience
- Collaborate with our compensation team to developing data-driven compensation analysis to ensure pay equity and market competitiveness
- Work with recruiting leaders to help them report to the business on basic recruiting metrics, hiring predictions, and opportunities for improvement.
The expected salary range for this position is:
Annual Salary:
$160,000-$205,000 USD
Logistics
Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact - advancing our long-term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process
Sr. Data Analytics (Website Analytics)
Posted 6 days ago
Job Viewed
Job Description
Title: Sr. Data Analytics (Website Analytics)
Duration: 6+ Months
Location: El Segundo, CA
Must Have: experience with campaign targeting, segmentation, test design/learning plans, reporting and optimization of:
- Website/mobile (Adobe/Google Analytics)
- DMP/Digital media (nice to have)
- Account data (first and 3rd party), including demographics
- Transactional data (product registrations, eComm, offer redemption)
- Engagement data (email opens/clicks, push notifications taps, web visits and clickstream)
- Data science language skills (Retention/Data Lead only)
- Python
- Modelling/ML
- Other packages / platforms / skills
- Data mining/profiling
- Data visualization: advanced Excel, Tableau, Power BI
Responsibilities:
•Deliver Data-driven, actionable insights
•Analyze on-site customer journeys under an optimization-focused lens
•Present insights to clients and account teams in a compelling and relevant story with recommendations backed by robust analysis
•Provide strategic guidance on analytics and measurement strategies, while leading by example with an active delivery role
•Develop an intimate understanding of our client’s business and their customers, and pro-actively identify ways to help our clients achieve their goals
•Work closely with account teams to identify opportunities, participate in sales pitches and strengthen SapientRazorfish’s leadership position in digital transformation
•Collaborate with cross functional teams, including creative, design and technology to shape meaningful customer journeys and customer centric thinking
Experience Guidelines:
•3-6 years of experience with a focus in Site Analytics and Optimization or related fields.
•Bachelor’s degree, in Marketing, Business, Engineering or a related field.
•Passion for digital analytics, working with data and deriving insights to answer client business questions
•Experience leading and delivering analytics engagements
•Strong knowledge of the digital space and digital analytics
•Strong communication and client service skills
•Strong organizational skills and attention to detail
•Strong consultative skills and the ability to challenge status quo and gain adoption
•Comfort with working in and contributing to a fast-paced, team based environment
•Management or mentorship experience - providing training, project support, career advice and delegated responsibilities
•Proficiency in Adobe Analytics and other Adobe Marketing Cloud products, specifically Test and Target
•Proven ability to influence stakeholder and senior leaders, and manage organizational change
•Recruit and Manage team of ‘rock-star’ analysts
•Build a customer obsessed culture and grow our business
Data Analytics
Posted 5 days ago
Job Viewed
Job Description
Location: Dallas, TX /Austin, TX(Day 1 onsite)
Duration: Contract C2C
Keywords: Digital : Data Analytics & Insights : ignio AIOps, EIS : QA Inspection and Testing Skill
Job Description
Facilitate and moderate in-person user studies with complex, detailed, and dynamic protocolGather system data from test devices according to study protocols to assess system performance and determine if user studies are necessaryProvide a positive, high-energy experience for all participantsEnsure appropriate participant compliance with relevant study protocols, documenting any protocol deviations or study issuesGather quantitative data from study devices and equipment, validating the fidelity of captured dataTrack study progress and participation metrics, provide timely updates and proactively raise any study-related issues and challenges that may ariseCommunicate day-to-day results, statuses and issues pertaining to User Study Data Collections ProjectsPrepare, troubleshoot, and maintain study deviceequipment for data collection effortsSet up and break down study session areas dailyOversee study environment setup and communicate maintenance needs accordinglyInstall software, use SSHterminalcommand line to enable systems, and perform basic troubleshooting on development consumer electronicsManage user study participant correspondence, recruitment, and schedulingDiscuss data collection plans, issues and next steps with data consumersProactively work with data consumers to streamline and improve data collection processesAssist with basic data processing and visualizationsDistribute surveys, review, and collect survey responses and other feedbackSupport additional user study data collection effortsFlexibility to run study sessions between 730am - 630pm while normal schedule will be 8.30 am to 5.30 pm, as needed by the programCupertino service may require staying outdoors for extended periods of time (4-6 hours) on some days
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
Data Analytics
Posted 5 days ago
Job Viewed
Job Description
REMOTE
Interview Timeline - Week from today- starting interviews
Looking for is a Data Analytics Consultant (SQL, Python, Data Visualization, and Automation)
Someone who can pull large amounts of data, make sense of it, organize it, create reports, and visualization, and make sense of what the data is saying and then ideally be able to help scale to other business es with historical data
Healthcare background (from claims / utilization/ prior authorization) and large matrixed organizations will be more preferred and someone who is naturally curious
Bring Reporting capabilities
-Data coming from different resources / consolidate into one common platform or application.
-Pull data and build an AI or automation process to go through data and pull out whats necessary and create reports and visual to show what the data is telling us.
Scaling to other businesses and using historical data.
SQL/Python
Benefits and CLaims / Utilization and Prior Authorization
Matrixed Organization
Natural Curiosity
Description:
Our audit and governance functions require a centralized data leader who can:
- Architect scalable, secure, compliant data pipelines
- Translate complex datasets into actionable insights for regulatory and operational decisions
- Build intuitive, low?maintenance tools that empower non'technical users across the PA experience
- Data Collection & Cleaning - They gather data from various sources and clean it to ensure it's usable-removing errors, filling in missing values, and standardizing formats.
- Exploratory Data Analysis (EDA) - They explore the data to understand patterns, trends, and relationships using statistical techniques and visualizations.
- Model Building - They build predictive models using machine learning algorithms to forecast outcomes or classify data.
- Interpretation & Communication - They translate complex results into actionable insights and communicate them to stakeholders through reports, dashboards, or presentations.
- Deployment & Monitoring - In some cases, they help deploy models into production systems and monitor their performance over time.
- Healthcare specific background would be helpful.
- But candidate must be experienced in elements of statistics, computer science, and domain expertise to help organizations make data-driven decisions.
- As well as, build and maintain artificial intelligence (AI) driven platforms/solutions.
- Programming: Python, R, SQL
- Statistics & Mathematics
- Machine Learning & AI
- Data Visualization: Tools like Tableau, Power BI, or libraries like Matplotlib and Seaborn
- Big Data Tools: Spark, Hadoop (for large-scale data)
- Advanced SQL and Python for analytics, ETL, and automation
- Data modeling, warehousing, and pipeline orchestration (cloud?native stack)
- Dashboarding (Power BI; Streamlit or similar) and reproducible analytics (versioning, CI/CD preferred)
- Healthcare data familiarity (claims, PA & appeals, pharmacy) and regulatory contexts (CMS, NCQA, URAC, ERISA, state rules)
- Data security, privacy, and compliance best practices.
Data Analytics
Posted 5 days ago
Job Viewed
Job Description
Note- Mana***r is looking for someone with 5+ years of experience in data analytics, including experience with advanced analytics techniques and data mana***ment.
Title - Data Analytics Contractor
Number of Leased Workers needed - 1
Tentative start date - asap
Tentative end date - six months
Work shift (days/times) - 1st Shift
Work Location - 100% remote
Travel Required (% of travel) - No
Is this a temp to perm position - pure contract
Consultant - Data Analytics
• Job Description Summary
Data and Analytics consultant is responsible for helping drive data-driven initiatives that provide actionable insights to inform strategic business decisions. This role involves managing the collection, analysis, and interpretation of data from various sources to support product development, marketing, sales optimization, and overall business strategy. Consultant will collaborate closely with the Mana***r of Data Analytics, Mana***rs of Market Research and Competitive Intelli***nce, and cross-functional teams to drive a culture of data-based decision-making across the organization.
Job Description
Key Responsibilities:
• Data Strategy and Mana***ment: Develop and implement data analytics strategies, ensuring data accuracy, integrity, and effective use across the organization.
• Data Analysis and Reporting: Analyze lar*** datasets to uncover trends, patterns, and insights that drive business decisions. Present findings in clear, actionable reports and visualizations.
• Advanced Analytics: Utilize advanced models, predictive analytics, to support strategic initiatives such as market forecasting, customer segmentation, and competitive analysis
• Cross-Functional Collaboration: Work closely with the Mana***r of Data Analytics, Mana***rs of Market Research and Competitive Intelli***nce, marketing, sales, and product development teams to align data analytics efforts with broader business objectives.
• Data Governance and Quality Control: Establish processes and best practices for data governance, ensuring data quality and consistency across different sources and platforms.
• Performance Measurement: Develop and track key performance indicators (KPIs) to measure the effectiveness of business strategies and marketing campaigns, providing regular updates to senior leadership.
• Tool and Technology Integration: Evaluate and implement data analytics tools and technologies to enhance the organization's ability to analyze and interpret data effectively.
• Support Strategic Projects: Collaborate with the Director of Strategy, Insights, Analytics, and Competitive Intelli***nce on key strategic projects, contributing data-driven insights that inform business planning.
Key Capabilities:
• Advanced analytical skills to analyze complex data sets, evaluate data intregrity, and translate to business use cases.
• Strong proficiency in data visualization and transforming raw data into clear dashboards that inform strategy.
• Understanding of data analysis tools and software (Excel, Power BI, Tableau)
• Experience with data warehousing and governance to ensure data security and privacy.
• Strong problem-solving skills to address data-related challen***s and develop innovative solutions to support changing dynamic team needs.
• Familiarity with pharmaceutical or healthcare industries or highly regulated segments.
Qualifications:
• Bachelor's degree in Analytics or a related field; Master's degree preferred
• Healthcare/Biotechnology/Diagnostics Experience Required
• 5+ years of experience in data analytics, including experience with advanced analytics techniques and data mana***ment.
• Proven track record of delivering data-driven insights that influence strategic business decisions.
• Strong technical background with hands-on experience in data analytics tools and platforms.
EEO:
"Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of - Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans."
Be The First To Know
About the latest Analytics Jobs in United States !
Data Analytics
Posted 5 days ago
Job Viewed
Job Description
Spotfire, Python, Scala, Java, C++, SQL Product Costing domain knowledge
Background in data engineering and data visualization along with experience in Agile project management methodologies. Design, develop, optimize, and maintain data architecture and pipelines that follow ETL principles and business goals. Define data requirements, gather and mine large-scale structured and unstructured data, and validate data using various tools in the Big Data Environment. Support Data Scientists in data sourcing and preparation to visualize data and synthesize insights of commercial value. Perform data manipulation and queries using SQL independently. Develop scripts and applications in Python for complex data processing needs. Lead the evaluation, implementation, and deployment of emerging tools and processes for analytic data engineering to improve productivity. Partner with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives. Implement statistical data quality procedures on new data sources by applying rigorous iterative data analytics. Advise, consult and coach other data and analytic professionals on data standards and practices. Create advanced data visualizations and dashboards in Tableau or in PowerBI. Apply machine learning techniques to predict outcomes and increase business processes. Have solid knowledge of industry practices and contribute to departmental projects and goals, often engaging in frequent internal and external interactions. Occasionally lead small project teams and provide informal guidance to junior staff.
Base Salary Range: $90,000 - $140,000 per annum
#LI-SV2
Data Analytics
Posted 6 days ago
Job Viewed
Job Description
Job Description:
We are seeking a qualified Business Intelligence and Data Analytics professional with experience in DoD to provide SSC AtlasX critical thinking and analysis in a dynamic, high-paced environment that responds to SSC senior leadership and supports a broad range of technical and administrative activities that enable and contribute to effective management of the SSC space enterprise.
Organization is responsible for highly classified Space Domain Awareness (SDA) systems, Defensive and Offensive Space Control (DSC/OSC) capabilities, and space test range assets, all crucial for meeting current and projected DoD operational requirements. This dynamic environment requires a professional with a strong understanding of ground, near-space, space, and related operating systems.
Additional Responsibilities:
- Interface with data governance organizations and support as needed in the development or distribution of policies and governance related to data operations or the use of Artificial Intelligence. The Contractor shall advocate for SSC personnel and promote organizational decisions that enable an innovative workforce and the use of emergent technologies
- Perform tasks in support of data mining activities using a variety of techniques, to include anomaly detection, focusing on unusual data errors that may require additional validations.
- Perform data mining tasks to support dependency modeling, data clustering, classification, regression, and summarization.
- Perform tasks in support of data operations activities such as data extractions, data transformations, and data integration into various systems. The Contractor shall use appropriate data and business analytic frameworks for conceptualizing and actualizing work products and processes.
- Develop complex statistical analytical models to perform descriptive, diagnostics, predictive, and prescriptive analytics focused on improving data-driven decision making and reducing overall risk exposure. The Contractor shall develop and deliver specialized analytical models focused on continuous monitoring to support various organizational clients, internal controls of high-risk programs, key performance indicators (KPIs), and performance metrics.
- Support change management activities including the development and delivery of training for key stakeholders, strategic communication, and related organizational support of analytic activities (e.g., participation in collaborative activities with decentralized analytic elements, IT analysts, system developers, etc.).
- Build, test, and sustain interactive dashboards on a routine basis and shall support the retirement of analytic products that become obsolete.
- Able to use various formats to include ad hoc and cyclical reports, visual aids (e.g., charts/graphs), and queries/scripts for non-interactive dashboard reporting of analytical results.
- Prepare and present findings and scientific or analytical reports and studies and translate disparate data into meaningful information.
Minimum Education & Certification(s):
- BA/BS Required
- 3+ years of Specific and demonstrable experience working with DoD programs and organization, specifically in SSC Space Acquisition (preferred).
- Experience in some or all of the following: DAF Data Fabric analytics platforms (e.g. Envision, VAULT, BLADE, ADVANA) required. Expertise in COTS Business Intelligence software (e.g. Palantir Foundry, Power BI, Tableau, Qlik Sense), expertise in SharePoint development and web technologies, Microsoft 365 suite (e.g. Power Automate, Power Apps, Forms, Lists), database languages and data transformation packages (e.g. SQL, PySpark, Pandas, R) and SSC authoritative business data systems (PMRT, CCaR, CRIS, FPDS, MilPDS, DCPDS, REMIS, LISN), and/or Artificial Intelligence (e.g. Machine Learning, Natural Language Processing, Generative AI, LLMs, prompt engineering) highly preferred.
- Secret
- El Segundo, CA (Onsite; Hybrid/Remote not available)
Data analytics
Posted 6 days ago
Job Viewed
Job Description
Sort the data
Compartmentalize them
Take warranty data, Dealer data, Technician data
Run analytics and various NCCA processes on it
Daren will talk to Adam (Data Analytics Guy in his team) and figure a dissecting data opportunity
"All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. NLB is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation, contact HR department by sending an e-mail to "