Data Analytics Manager Jobs
Data Analytics Manager jobs are open across finance, healthcare, retail, and technology, from mid-level analyst leads to senior director roles, with specializations in business intelligence, predictive modeling, and data governance. Find a role that fits from the openings below and apply directly.
Find Data Analytics Manager JobsOverview
Showing 5 of 2,555+ Data Analytics Manager jobs
INTRODUCTION
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.
The Model Risk Governance - Reporting and Automation team sits within the Model Risk Office and serves for providing risk reporting to enterprise and process optimization for the department. Responsible for managing the enterprise-wide model risk reporting function, the team is actively driving a strategic transformation to replace legacy reporting with an interactive, GenAI-centric reporting ecosystem. In addition to innovating the reporting function, the team is deploying scalable, cutting-edge AI solutions—including intelligent multi-agent architectures—to eliminate repetitive manual workflows, optimize operational efficiency, and minimize human error. To accelerate this vision, the team has a vital need for forward-thinking talent eager to execute high-impact, AI-powered automation work that transforms how the enterprise visualizes and manages model risk.
ROLE AND RESPONSIBILITIES
What you’ll do:
- Builds and deploys scalable artificial intelligence and machine learning models to automate existing model risk management process, reporting and controls
- Architect and deploy an interactive, conversational reporting chatbot powered by AI solutions
- Experiment with and develop advanced, multi-agent AI workflows designed to execute complex cognitive tasks
- Optimize data integration across core systems into centralized infrastructure to create a highly accurate, audited "source of truth" for model risk metrics
- 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
- 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 interactive reporting tools such as Tableau or Quicksight
- At least 1 years of experience in a Model Risk Management, Risk Governance, or highly regulated financial environment
- At least 1 years of experience working with Large Language Models (LLMs) and advanced AI toolsets (e.g., Claude Code, Github Copilot, Gemini, Google Workspace Studio)
- Proficient utilizing and developing within AWS service
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
COMPENSATION
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: $164,800 - $188,100 for Data Analysis Manager
- Richmond, VA: $149,800 - $171,000 for Data Analysis Manager
- Chicago, IL: $149,800 - $171,000 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 4901-4920; 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 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. 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 Careers@capitalone.com.
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).
INTRODUCTION
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.
The Model Risk Governance - Reporting and Automation team sits within the Model Risk Office and serves for providing risk reporting to enterprise and process optimization for the department. Responsible for managing the enterprise-wide model risk reporting function, the team is actively driving a strategic transformation to replace legacy reporting with an interactive, GenAI-centric reporting ecosystem. In addition to innovating the reporting function, the team is deploying scalable, cutting-edge AI solutions—including intelligent multi-agent architectures—to eliminate repetitive manual workflows, optimize operational efficiency, and minimize human error. To accelerate this vision, the team has a vital need for forward-thinking talent eager to execute high-impact, AI-powered automation work that transforms how the enterprise visualizes and manages model risk.
ROLE AND RESPONSIBILITIES
What you’ll do:
- Builds and deploys scalable artificial intelligence and machine learning models to automate existing model risk management process, reporting and controls
- Architect and deploy an interactive, conversational reporting chatbot powered by AI solutions
- Experiment with and develop advanced, multi-agent AI workflows designed to execute complex cognitive tasks
- Optimize data integration across core systems into centralized infrastructure to create a highly accurate, audited "source of truth" for model risk metrics
- 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
- 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 interactive reporting tools such as Tableau or Quicksight
- At least 1 years of experience in a Model Risk Management, Risk Governance, or highly regulated financial environment
- At least 1 years of experience working with Large Language Models (LLMs) and advanced AI toolsets (e.g., Claude Code, Github Copilot, Gemini, Google Workspace Studio)
- Proficient utilizing and developing within AWS service
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
COMPENSATION
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: $164,800 - $188,100 for Data Analysis Manager
- Richmond, VA: $149,800 - $171,000 for Data Analysis Manager
- Chicago, IL: $149,800 - $171,000 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 4901-4920; 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 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. 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 Careers@capitalone.com.
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).
See All 2,555+ Data Analytics Manager Jobs
Jump back to the full list of openings and apply to any data analytics manager role that fits.
Find Data Analytics Manager JobsData Analytics Manager Job Market
A snapshot from current openings nationwide, updated as new roles post.
Who's Hiring
- CVS Health210
- Amazon106
- Apple74
- Walmart67
- Capital One60
Top Industries Hiring
- Technology & Software643
- Healthcare & Medical Services279
- Consulting & Professional Services215
- Retail157
- Banking & Financial Services154
What Employers Look For
The qualifications that appear most often in data analytics manager jobs.
- Five or more years of experience in data analytics or a related field
- Proficiency in SQL and at least one BI tool such as Tableau or Power BI
- Experience managing or mentoring analysts and cross-functional data teams
- Strong communication skills for presenting insights to executive stakeholders
- Bachelor's degree in statistics, computer science, mathematics, or a related discipline
- Familiarity with cloud data platforms such as Snowflake, BigQuery, or Redshift
Tips for Your Data Analytics Manager Job Search
Quantify impact on your resume
Data analytics manager resumes that land interviews show outcomes, not just tools. Replace bullet points like 'managed dashboards' with specifics: reduction in reporting time, revenue attributed to a model, or team size you scaled.
Align your portfolio to business decisions
Hiring managers want proof you translated data into action, not just analysis. Include two or three case studies showing a business question, your analytical approach, and the decision it drove, ideally with before-and-after context.
Filter openings by stack, not just title
Data analytics manager roles vary widely by toolset. Search by the platforms you know best, such as dbt, Looker, Snowflake, or Power BI, so you target teams where your skills are immediately deployable rather than starting from scratch.
Apply early to roles that fit
Migrate Mate lists data analytics manager openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prepare a stakeholder communication example
Interviewers for this role consistently probe how you present findings to non-technical executives. Prepare a real story where you reframed a complex dataset into a clear recommendation, and practice delivering it in under two minutes.
Negotiate scope before negotiating compensation
Before discussing pay, clarify team size, data infrastructure maturity, and whether the role owns roadmap decisions. These factors affect your leverage and your day-to-day autonomy far more than the title alone suggests.
Data Analytics Manager Jobs: Frequently Asked Questions
Which companies are hiring the most data analytics managers?
The companies hiring the most data analytics managers right now include CVS Health, Amazon, and Apple, with the largest share of openings in California, New York, and Texas, based on current listings on Migrate Mate as of June 2026. Demand is particularly concentrated in financial services and large-scale retail technology divisions.
How many data analytics manager jobs are remote?
About 35% of data analytics manager openings are fully remote or hybrid as of June 2026, making it one of the more location-flexible management roles in data. Business intelligence and data governance sub-specializations tend to have the highest remote availability, while roles tied to real-time operations or on-premise infrastructure lean more toward in-office requirements.
How do you become a data analytics manager?
You become a data analytics manager by first building several years of hands-on experience as an analyst, then demonstrating cross-functional project ownership and informal team leadership. Moving into the role typically involves leading a project end-to-end, mentoring junior analysts, and developing a track of stakeholder-facing deliverables that show you can translate data into business decisions, not just produce reports.
Can you get a data analytics manager job without prior management experience?
You can move into a data analytics manager role without a formal management title if you can demonstrate leadership through project ownership, mentoring, or building out analytical frameworks others relied on. Smaller companies and growth-stage teams hire analytically strong individual contributors into manager roles when those candidates show initiative in structuring workflows and communicating findings to business leaders.
What does the data analytics manager interview process look like?
The interview process for a data analytics manager typically runs across multiple rounds: an initial screen focused on background and team fit, a technical assessment covering SQL and analytical problem-solving, a case study or take-home requiring you to derive a business recommendation from a dataset, and a final round with senior stakeholders or cross-functional leaders who probe your communication style and strategic thinking.
Where can I find and apply to data analytics manager jobs?
You can find and apply to data analytics manager jobs on Migrate Mate, which lists current openings from across the United States. Search the listings to find roles that match your experience and specialization, then apply directly to each one that fits.
See All 2,555+ Data Analytics Manager Jobs
Jump back to the full list of openings and apply to any data analytics manager role that fits.
Find Data Analytics Manager Jobs