276 Data Analysis jobs in the United States

Job Description:

This position requires office presence of a minimum of 5 days per week and is only located in the location(s) posted.  No relocation is offered.

Join AT&T and reimagine the communications and technologies that connect the world. Our Consumer Technology experience team is delivering innovative and reliable technology solutions to power differentiated, simplified customer experiences. Bring your bold ideas and fearless risk-taking to redefine connectivity and transform how the world shares stories and experiences that matter. When you step into a career with AT&T, you won’t just imagine the future- you’ll create it.

We’re seeking a data-driven professional to support the engineering, analysis, and documentation of enterprise datasets using SQL and related tools. This role is ideal for someone eager to learn the business behind the data—understanding how segments, products, channels, volumes, and revenue shape our operations.

Key Responsibilities:

• SQL-Based Data Engineering:
  Design, write, and optimize SQL queries to extract, transform, and load data from various sources into structured repositories for analysis and reporting.
• Dataset Analysis & Business Understanding:
  Analyze large datasets to uncover trends and relationships tied to business segments, product performance, channel activity, and revenue impact. Develop a strong understanding of the data’s business context.
• Process Documentation & Data Mapping:
  Create and maintain clear documentation of data flows, transformation logic, and business rules. Develop data dictionaries and process guides to support transparency and repeatability.
• Data Quality & Discrepancy Resolution:
  Identify and resolve inconsistencies across systems. Collaborate with business and technical teams to ensure data integrity and alignment with business definitions.
• Cross-Functional Collaboration:
  Work closely with sales, marketing, and commercialization teams to understand data needs and deliver actionable insights that support strategic decisions.

Preferred Skills:

• Proficiency in SQL  for data extraction and transformation.
• Familiarity with data visualization tools  (e.g., Power BI, Tableau).
• Strong analytical mindset and attention to detail.
• Ability to document technical processes clearly and concisely.
• Curiosity to learn the business logic behind the data.

Qualifications:

• Bachelor’s degree in Computer Science, Data Science, Math, or a related field.
• 1–2 years of experience in data analysis or engineering roles preferred.

Note:  

• This position is based in Dallas, TX only  and requires full-time in-office presence .

Our Senior Data Analysis, earn between $118,800 - $78,200. Not to mention all the other amazing rewards that working at AT&T offers. Individual starting salary within this range may depend on geography, experience, expertise, and education/training.

Joining our team comes with amazing perks and benefits:

• Medical/Dental/Vision coverage
• 401(k) plan
• Tuition reimbursement program
• Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays)
• Paid Parental Leave
• Paid Caregiver Leave
• Additional sick leave beyond what state and local law require may be available but is unprotected
• Adoption Reimbursement
• Disability Benefits (short term and long term)
• Life and Accidental Death Insurance
• Supplemental benefit programs: critical illness/accident hospital indemnity/group legal
• Employee Assistance Programs (EAP)
• Extensive employee wellness programs
• Employee discounts up to 50% off on eligible AT&T mobility plans and accessories, AT&T internet (and fiber where available) and AT&T phone

A career with us, a global leader in communications and technology, comes with big rewards. As part of our team, you’ll lead transformation surrounded by trailblazing industry leaders like you. You’ll be empowered to go above and beyond – making a difference through company-sponsored initiatives or connecting and networking through one of our many employee groups.

And regardless of where you’re at in your career trajectory, you’ll be rewarded by the impact that comes with making a difference in the lives of millions.

With AT&T, you’ll be a part of something greater, do incredible things and be rewarded with a chance to change the world.

AT&T will consider for employment qualified applicants in a manner consistent with the requirements of federal, State, and local laws.

Ready to close the deal on a career with AT&T?

Apply today.

Weekly Hours:

Time Type:

Location:

Salary Range:

It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities.AT&T is a fair chance employer and does not initiate a background check until an offer is made.

Manager, Data Analysis

At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

What you’ll do:

• Drive current and future strategy by leveraging your analytical skills

• Assist with building and using models to test and validate data

• Work with vast amounts of data in new and evolving environments

• Be a part of growing and developing our brand in new and emerging markets

• Leverage analytics to create a customer experience above our peers

• Lead a team of talented junior analysts on an exciting professional journey while mentoring them and elevating their careers

• Be a part of the full life cycle of projects and see end results

• Collaborate across business units

• Work with top talent in a fast paced, entrepreneurial environment where analytics and good data are a top priority

• Experience real work life balance, with little travel involved

On any given day you will be:

• Mining data to arrive at specific and crucial information for the organization

• Identifying and implementing process, data, and reporting improvements for the organization

• Working with large and complex databases containing millions to billions of records

• Improving operational efficiencies and effectiveness

• Conducting analysis to evaluate processes and tests

• Extracting and analyzing data to gauge product offerings

• Consulting on the design and implementation of new production and data storage systems

• Developing and implementing strategic tests of products, initiatives and marketing materials

An ideal candidate will be on the leading edge of Analytical technology with a passion for the newest and most innovative tools. Possessing strong problem solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills are also important. This position will be in a fast-paced and entrepreneurial environment where you will be handling multiple concurrent projects while working independently and in teams. This role will have a strong Business Intelligence component and those with a BI background are strongly encouraged to apply.

Basic Qualifications

• Currently has, or is in the process of obtaining a Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 6 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus at least 4 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.

• At least 4 years of experience performing professional data analysis work

• At least 4 years of experience performing programming

Preferred Qualifications:

• Master’s Degree in a Science, Technology, Engineering, Mathematics discipline

• At least 7 years of professional data analysis work experience

• At least 4 years of experience with Python, R, Spark or SQL

• At least 1 year of experience in people management

• At least 1 years of project management experience

• At least 1 year of experience in Tableau

• Proficient utilizing and developing within AWS service

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

McLean, VA: $158,400 - $80,800 for Data Analysis Manager

Richmond, VA: 144,000 - 164,400 for Data Analysis Manager

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website ( . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.

No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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Job Responsibilities:

The ideal candidate will have a foundational understanding of machine learning, data annotation, quality assurance, and natural language processing. They will play a pivotal role in updating our machine learning models and ensuring their efficacy.
MAIN TASKS & RESPONSIBILITIES

Machine Learning Model Updates:

• Update training and test model databases with new or amended synthetic textual and image data.
• Modify and refine machine learning data creation, annotation, and rating guidelines.

• Initiate model training processes using internal tools and command-line interfaces.
• Evaluate the performance of trained models to gauge their efficacy and readiness for deployment.

• Design and develop test and training datasets as per the criteria provided by the project manager and other full-time employees.
• Handle data efficiently, ensuring its integrity throughout the workflow.
• Engage in data relevance tasks, ensuring data sets are aligned with project goals.
• Annotate data accurately, ensuring it adheres to set guidelines.

• Conduct manual quality analysis of model results.
• Recognize error patterns and report anomalies for further investigation.
• Deliver detailed reports on findings, including aspects such as utterance quality, LLM evaluation, ASR bug tracking, and customer pain points to be reviewed by the User Experience Research team.
• Implement basic quality control measures and ensure the reliability of processed data.
• Utilize intermediate data analysis techniques to extract insights and inform decision-making.
• Arbitrate discrepancies effectively, ensuring consistent data quality.

• Apply basic knowledge of natural language processing and linguistics to data processing tasks.
• Ensure linguistic accuracy in all processed and annotated data.

• Bachelor's degree in Computer Science, Data Science, Linguistics or Computational Linguistics or a related field.

• Ability to work in a fast-paced, collaborative environment.
• Excellent communication skills

• Familiarity with command-line tools and interfaces.
• Strong analytical skills with the ability to identify patterns and anomalies.

Manager, Data Analysis

At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

What you'll do:

• Drive current and future strategy by leveraging your analytical skills

• Assist with building and using models to test and validate data

• Work with vast amounts of data in new and evolving environments

• Be a part of growing and developing our brand in new and emerging markets

• Leverage analytics to create a customer experience above our peers

• Lead a team of talented junior analysts on an exciting professional journey while mentoring them and elevating their careers

• Be a part of the full life cycle of projects and see end results

• Collaborate across business units

• Work with top talent in a fast paced, entrepreneurial environment where analytics and good data are a top priority

• Experience real work life balance, with little travel involved

On any given day you will be:

• Mining data to arrive at specific and crucial information for the organization

• Identifying and implementing process, data, and reporting improvements for the organization

• Working with large and complex databases containing millions to billions of records

• Improving operational efficiencies and effectiveness

• Conducting analysis to evaluate processes and tests

• Extracting and analyzing data to gauge product offerings

• Consulting on the design and implementation of new production and data storage systems

• Developing and implementing strategic tests of products, initiatives and marketing materials

An ideal candidate will be on the leading edge of Analytical technology with a passion for the newest and most innovative tools. Possessing strong problem solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills are also important. This position will be in a fast-paced and entrepreneurial environment where you will be handling multiple concurrent projects while working independently and in teams. This role will have a strong Business Intelligence component and those with a BI background are strongly encouraged to apply.

Basic Qualifications

• Currently has, or is in the process of obtaining a Bachelor's Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 6 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master's Degree plus at least 4 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.

• At least 4 years of experience performing professional data analysis work

• At least 4 years of experience performing programming

Preferred Qualifications:

• Master's Degree in a Science, Technology, Engineering, Mathematics discipline

• At least 7 years of professional data analysis work experience

• At least 4 years of experience with Python, R, Spark or SQL

• At least 1 year of experience in people management

• At least 1 years of project management experience

• At least 1 year of experience in Tableau

• Proficient utilizing and developing within AWS service

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at or via email at All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description:

This position requires office presence of a minimum of 5 days per week and is only located in the location(s) posted. No relocation is offered.

Overall Purpose: Research, collect, process, and organize data into various data repositories including maintaining and updating interfaces, creating data rules and data mapping, resolving data discrepancies across multiple business applications, then responding to business requests to analyze data to generate actionable insights.

Key Roles and Responsibilities: Typical tasks may include, but are not limited to, the following:
• Data Collection and Processing: Gather, preprocess, and cleanse data from various sources to ensure it is accurate and ready for analysis.
• Data Analysis and Interpretation: Analyze data using statistical methods to identify trends and insights, creating reports and recommendations for business decisions.
• Reporting and Visualization: Create clear, factual/precise, and compelling data visualizations and reports to effectively communicate findings to stakeholders.
• Discrepancy Resolution and Quality Assurance: Identify, resolve, and ensure the accuracy of data discrepancies across platforms, maintaining data reliability through quality control and auditing.
• Analytical Tools: Includes SQL, PowerBI, Python, Tableau, etc.

Job Contribution: An experienced professional with advanced, interdisciplinary knowledge, resolving difficult and complex issues using broad professional concepts. Guides others, applying advanced principles and company practices. Leads moderate sized projects (or parts of larger projects) with strategic value. Operates autonomously with frequent senior leadership interaction.

Supervisor: No

TCP Career Step Differentiator: Manages complex data movement, storage and analysis.

Education/Experience: Bachelor’s degree (BS/BA) desired in Computer Science, Math, etc. 5+ years of related experience. Certification is required in some areas.

Our Lead Data Analysis, earns between  $130,700 - $96,100. Not to mention all the other amazing rewards that working at AT&T offers. Individual starting salary within this range may depend on geography, experience, expertise, and education/training.  

Joining our team comes with amazing perks and benefits:

• Medical/Dental/Vision coverage  
• 401(k) plan  
• Tuition reimbursement program  
• Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays)  
• Paid Parental Leave  
• Paid Caregiver Leave  
• Additional sick leave beyond what state and local law require may be available but is unprotected  
• Adoption Reimbursement  
• Disability Benefits (short term and long term)  
• Life and Accidental Death Insurance  
• Supplemental benefit programs: critical illness/accident hospital indemnity/group legal  
• Employee Assistance Programs (EAP)  
• Extensive employee wellness programs  
• Employee discounts up to 50% off on eligible AT&T mobility plans and accessories,
• AT&T internet (and fiber where available) and AT&T phone

If you’re ready to make an impact on our business and your career, bring your bold ideas to a world of possibility. 

Apply today!

Weekly Hours:

Time Type:

Location:

Salary Range:

It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities.AT&T is a fair chance employer and does not initiate a background check until an offer is made.

We are seeking a dedicated and experienced Data Analysis Team Leader to spearhead our data analytics division. In this pivotal role, you will lead a dynamic team of data analysts, driving strategic insights and ensuring data-driven decision-making across the organization. Your expertise in data interpretation, coupled with exceptional leadership skills, will empower your team to deliver innovative analytical solutions that enable us to achieve our business objectives. You will be responsible for overseeing the entire data analysis process, from data collection and processing to the presentation of findings to stakeholders. You will work closely with cross-functional teams to understand their data needs and convert complex data sets into actionable insights. A key aspect of this role will be fostering a collaborative environment that encourages professional development and promotes best practices in data analysis. The ideal candidate will possess a strong analytical mindset and a passion for leveraging data to solve complex business challenges. This is an exciting opportunity for an individual who is ready to make a significant impact and drive our data initiatives to new heights.

Responsibilities:

• Lead and manage a team of data analysts, providing guidance and support in analysis efforts.
• Oversee data collection, processing, and analysis to ensure accuracy and reliability of insights.
• Collaborate with stakeholders to define analytical needs and provide strategic recommendations based on data analysis.
• Develop and implement data analysis methodologies and best practices to enhance team productivity and output quality.
• Prepare and present detailed reports and presentations summarizing analytical findings to senior management and other stakeholders.
• Monitor team performance and provide training and mentoring to enhance the team's skill sets.
• Stay updated with industry trends and technological advancements in data analysis and incorporate them into team practices.

Requirements

• Fluent in both English and Chinese.
• Strong communication skills, both verbal and written, to convey complex data insights clearly and concisely.
• Proven experience in a data analysis role with at least 3 years of leadership responsibilities.
• Strong proficiency in data analysis tools such as SQL, Excel, and data visualization software like Tableau or Power BI.
• Excellent analytical and problem-solving skills, with a strong focus on detail and accuracy.
• Demonstrated ability to work collaboratively across teams and effectively manage stakeholder relationships, especially with different Marketing funtional teams.
• Experience in project management and the ability to manage multiple projects simultaneously with competing deadlines.

Benefits

What We Offer:

• Competitive salary and performance-based bonuses.
• Comprehensive benefits package, including health, dental, and retirement plans.
• Opportunities for professional growth and development.
• A dynamic and collaborative work environment.

Base pay for a successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected salary range for this role is $140,000-$160,000. This role is also eligible to participate in our discretionary bonus plan.

Disclaimer

The above information on this description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job.

Futu Holdings Limited, including all subsidiaries, is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, protected veteran status, or any other characteristic protected by law.

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All communications to you will come from a business email address. We do not hire through text message, social media, or email alone, and any interviews will be conducted in person or through a video call. We will not ask you for bank account information nor ask you to pay anything during the hiring process.

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JLL empowers you to shape a brighter way .

Our people at JLL and JLL Technologies are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you've got deep experience in commercial real estate, skilled trades or technology, or you're looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward.

Duties : Optimize supply and demand forecast of client portfolios through data analysis and integrity.
Develop, execute and monitor data management and business analytic processes to support project
delivery. Model demand scenarios and determine best real estate plan to address alternative forecasts.
Translate business intelligence into real estate insights. Maintain data integrity of tools used. Provide and communicate reporting and metrics to stakeholders to make informed decisions.

Requirements : Bachelor's degree, or foreign equivalent degree, in Computer Science, Information
Technology or a related field and minimum two (2) years of related work experience.

Must have experience with/in:

• Performing data analysis and visualization;
• Performing ad hoc reporting using SQL tools and/or visualization tools such as Tableau, Power BI, or QlikView;
• Ensuring data consistency and integrity for the development of models or reports;
• Modeling spreadsheets with Power Query or Python; and
• Working in Agile or Scrum methodologies.

Location:

On-site -Boulder, CO

If this job description resonates with you, we encourage you to apply, even if you don't meet all the requirements. We're interested in getting to know you and what you bring to the table!

Personalized benefits that support personal well-being and growth:

JLL recognizes the impact that the workplace can have on your wellness, so we offer a supportive culture and comprehensive benefits package that prioritizes mental, physical and emotional health. Some of these benefits may include:

• 401(k) plan with matching company contributions

• Comprehensive Medical, Dental & Vision Care

• Paid parental leave at 100% of salary

• Paid Time Off and Company Holidays

• Flexible and Remote Work Arrangements may be available

About JLL -

For over 200 years, JLL (NYSE: JLL), a leading global commercial real estate and investment management company, has helped clients buy, build, occupy, manage and invest in a variety of commercial, industrial, hotel, residential and retail properties. A Fortune 500 company with annual revenue of $20.9 billion and operations in over 80 countries around the world, our more than 103,000 employees bring the power of a global platform combined with local expertise. Driven by our purpose to shape the future of real estate for a better world, we help our clients, people and communitiesSEE A BRIGHTER WAY. JLL is the brand name, and a registered trademark, of Jones Lang LaSalle Incorporated. For further information, visitjll.com.

Estimated compensation for this position:

This range is an estimate and actual compensation may differ. Final compensation packages are determined by various considerations including but not limited to candidate qualifications, location, market conditions, and internal considerations.

Location:

If this job description resonates with you, we encourage you to apply, even if you don't meet all the requirements. We're interested in getting to know you and what you bring to the table!

Personalized benefits that support personal well-being and growth:

JLL recognizes the impact that the workplace can have on your wellness, so we offer a supportive culture and comprehensive benefits package that prioritizes mental, physical and emotional health. Some of these benefits may include:

• 401(k) plan with matching company contributions

• Comprehensive Medical, Dental & Vision Care

• Paid parental leave at 100% of salary

• Paid Time Off and Company Holidays

JLL Privacy Notice

Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL's recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely.

For more information about how JLL processes your personal data, please view our Candidate Privacy Statement.

For additional details please see our career site pages for each country.

For candidates in the United States, please see a full copy of our Equal Employment Opportunity policy here.

Jones Lang LaSalle ("JLL") is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process - including the online application and/or overall selection process - you may email us at This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL.

Pursuant to the Arizona Civil Rights Act, criminal convictions are not an absolute bar to employment.

Pursuant to Illinois Law, applicants are not obligated to disclose sealed or expunged records of conviction or arrest.

Pursuant to Columbia, SC ordinance, this position is subject to a background check for any convictions directly related to its duties and responsibilities. Only job-related convictions will be considered and will not automatically disqualify the candidate.

California Residents only

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Pursuant to the Los Angeles Fair Chance Initiative for Hiring Ordinance, JLL will consider for employment all qualified Applicants, including those with Criminal Histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Accepting applications on an ongoing basis until candidate identified.

Req ID: RQ

Type of Requisition: Regular

Clearance Level Must Be Able to Obtain: Secret

Public Trust/Other Required: None

Job Family: Data Science and Data Engineering

Skills:

Data Analysis,Data Analytics,Data Insights

Experience:

5 + years of related experience

US Citizenship Required:

Yes

Job Description:

Own your opportunity to turn data into measurable outcomes for our customers' most complex challenges. As a Data Analysis Manager at GDIT, you'll power innovation to drive mission impact and grow your expertise to power your career forward.

The Data Analysis Manager will lead a driven, dynamic team of analysts responsible for providing data analysis and reporting across multiple high-profile federal contracts. They will architect, coordinate, and manage the flow of data to stakeholders at all levels to ensure GDIT exceeds relevant operational metrics and identifies any potential performance obstacles as they arise. By guiding their team in the creation of reporting and visualization tools that communicate vital information effectively and efficiently, they will be the lynchpin that ensures program leaders have the data insights essential to be successful. And, through continued innovation and improvement of these reporting tools, they will take part in transforming how our contract programs manage and receive their data, creating a new paradigm for how our company measures and quantifies success.

Bring your energy and passion to help us grow and we'll make sure you have a prime opportunity to grow and further your career with us in a rewarding environment that always puts the people at the heart of our mission first and foremost.

MEANINGFUL WORK AND PERSONAL IMPACT

• Manage, mentor, and develop a team of 10+ data analysts within the Data Insights and Visualization practice in Technology Shared Services (TSS)

• Manage utilization, compliance, and performance management for data analysts at various experience levels

• Lead monitoring and reporting of key performance metrics for multiple programs

• Develop, expand, and innovate on data and reporting solutions for the business

• Collaborate with product and growth teams to align capabilities and solutions to pipeline opportunities and new sales opportunities

• Design, maintain, and grow the use of data visualization tools on program and in client environments

• Maintain and oversee standards for data accuracy and integrity

• Develop and deliver executive-level presentations on data solutions, status, and performance of teams and organizations

• Work with program leadership to set and maintain acceptable metric goals

• Communicate with program leadership on performance problems

• Review and improve existing policies and procedures

WHAT YOU'LL NEED TO SUCCEED

Bring your expertise and drive for innovation to GDIT. The Data Analysis Manager must have the following:

Education: Bachelor of Arts/Bachelor of Science in data analytics, data science, computer science, statistics, mathematics, or a related field

Experience: 5+ years of experience in data analytics

Technical Skills:

• Advanced proficiency with dashboards and reports in Microsoft Power BI and Tableau, including Desktop and Prep

• Advanced proficiency with Microsoft Excel

• Advanced proficiency with presentation and data storytelling

• Proficiency with SQL and Python

• Experience with Microsoft 365 and low-code/no-code development tools such as Power Apps and Automate

• Experience with ServiceNow or other ITSM/CRM platforms

• Experience with Tableau Server technology stack and administration

• Experience with generative AI solutions as they relate to the data analyst field

Role Requirements:

• Excellent problem-solving and analytical skills

• Excellent communication skills

• Ability to manage and employees at various experience and skill levels

• Ability to present to internal and external stakeholders at all levels

• Ability to sell solutions and deliver growth for a data organization

Nice to Have:

• Certifications in AWS, Azure, or Google Cloud

• Certifications in ITIL 4

• Certifications in SAFe

• Experience with other dashboard, data visualization, and analysis technologies like Plotly, Looker, Domo, Qlik, and others

Security Clearance Level: Must be able to attain an Active Secret Clearance

US Citizenship Required

Location: Hybrid at GDIT"s Integrated Technology Center in Bossier City, LA

GDIT IS YOUR PLACE

At GDIT, the mission is our purpose, and our people are at the center of everything we do.

Growth: AI-powered career tool that identifies career steps and learning opportunities

Support: An internal mobility team focused on helping you achieve your career goals

Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off

Flexibility: Full-flex work week to own your priorities at work and at home

Community: Award-winning culture of innovation and a military-friendly workplace

OWN YOUR OPPORTUNITY

Explore a career in data science and engineering at GDIT and you'll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges.

The likely salary range for this position is $106,250 - $143,750. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.

We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.

Join our Talent Community to stay up to date on our career opportunities and events at

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

• Curate and develop a solid data foundation in coordination with the client - structured and unstructured data
• Process modeling data and perform robust analytics.
• Use online experimentation and other data science methodologies by leveraging Machine Learning (ML), natural language processing, and dynamic network analysis
• Exercise creativity in applying non-traditional approaches to large-scale analysis of unstructured data in support of high-value use cases visualized through multi-dimensional interfaces.
• Handle processing and index requests against high-volume collections of data and high-velocity data streams.

• HS +11-14 Years, BA/BA 5-10 Years, or MA/MS +3-6 Years e.
• Capable of building Python scripts and packages that will be used by the data analysts. The Python scripts will use supervised and unsupervised ML (both text and image-based machine learning), natural language processing (named entity extraction, summarization, etc.), and network analysis (social network analysis, centrality analysis, dynamic network analysis).
• Must have expertise in maintaining and deploying a notebook-based data science environment (JupyterHub).
• Must have experience in advanced Python data science packages (pandas, networkx, scikit-learn, pyTorch or TensorFlow/Keras, matplotlib or plotly, etc.).
• Requires strong technical and computational skills - engineering, physics, mathematics, coupled with the ability to code design, develop, and deploy sophisticated applications using advanced unstructured and semi-structured data analysis techniques and utilizing high-performance computing environments.
• Has the ability to utilize advance tools and computational skills to interpret, connect, predict and make discoveries in complex data and deliver recommendations for business and analytic decisions.
• Active TS/SCI clearance and Polygraph with the ability to obtain and maintain MEAD SIP clearance.
• U.S Citizen

• Prefer IAM Level I certification.