# Sr. Data Analysis Manager at Capital One

Capital One is hiring a Sr. Data Analysis Manager. Level rates it Little AI ●○○○; you can [apply on Capital One](https://jobsbylevel.com/go/4fd40f64-c6bb-4fe8-b6ba-4d25ea00a635?utm_medium=ai-agent).

AI Level 1, AI centrality 18 out of 100. McLean, VA.

## Details

- Company: [Capital One](https://jobsbylevel.com/companies/capital-one)
- AI level: AI Level 1 (score 18 out of 100)
- Location: McLean, VA
- Posted: November 3, 2026
- Apply: https://jobsbylevel.com/go/4fd40f64-c6bb-4fe8-b6ba-4d25ea00a635?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=sr-data-analysis-manager-at-capital-one-c343e7

## Description

Sr. Data Analysis Manager 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. As a Senior Manager, you will partner cross-functionally with teams throughout the company to validate business impacting analytical tools. You will enhance your technical and analytical skills, while also working with leaders to influence business strategies. With a network of hundreds of Data Analysts, Quants, and Data Scientists, challenging projects with an eye on the bottom line and a focus on work/life balance, we’ve created a dynamic environment with plenty of room for you to learn, grow, and realize your full potential. About the Team: The IFX Data Intelligence & Insights (DI2) team serves as the intelligence engine powering Capital One’s Tech and AI leadership. We build end-to-end interactive web apps, intelligent automation pipelines, and experimentation frameworks that drive operational health across 4,000+ engineers and leaders. As owners of the flagship IFX OneDashboard (36 custom products, 100K+ annual views), we combine full-stack data product ownership with executive-level impact. Come build the platforms, guardrails, and visualizations shaping the future of insights for tech. On a given day you will be: Refining a new Enterprise-wide analytical tools validation framework Planning and executing validation projects Assessing the quality and risk of analytical tool methodologies across Capital One, and the nature of tools usage within those processes Understanding technical issues in analytical tools and assessing tools risks and opportunities Independently researching, identifying, and prototyping industry best practices for emerging analytical tools Communicating results clearly and concisely both verbally and through written communications via validation reports and presentations Leveraging education, colleagues and training opportunities to develop solutions to business problems Coaching and mentoring junior staff An ideal candidate will possess strong problem solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills. 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. 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 7 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus at least 5 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date. At least 5 years of experience performing professional data analysis work At least 5 years of experience leading and developing with open source data technologies At least 2 years of experience managing people Preferred Qualifications: Master’s Degree or PhD in a Finance, Economics, Statistics, Mathematics, Industrial Engineering, Operations Research, or a related field At least 7 years of experience in statistical or econometrics hands-on work At least 5 years of experience manipulating and performing analysis with large data sets At least 5 years of experience in financial services industry At least 5 years of experience in developing statistical or econometric models At least 5 years of experience in validating statistical or econometric models At least 2 years of experience with data governance At

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Source: https://jobsbylevel.com/jobs/sr-data-analysis-manager-at-capital-one-c343e7

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