Professional Data Jobs (NOW HIRING)

Data is at the center of everything we do at Capital One. Your role as a Data Analyst on the team will heavily leverage your deep expertise in SQL and data transformation. You will be a creative data wrangler, comfortable with extracting, modeling, and transforming large, complex datasets to support our consumers. This requires more than just the ability to write complex, performant queries; you must also possess a thorough understanding of database structures, warehousing best practices, query profiling, and optimization techniques for data modeling and data governance. Ultimately, this is an analytics engineering role supporting not only analysts in the Strategy & Analytics team but a swathe of other data customers across a broader team who are hungry for data, metrics, and insights.

• Own the transformation layer, applying best practices to design and implement data cubes, warehouses, and other data models to best serve our users; define, manage, and implement the analytics engineering and infrastructure roadmap.
• Level up our data models, infrastructure, and dashboard interfaces to drive effective self‑service; liaise with team members and other data customers to understand and meet their analytical needs.
• Drive quality metadata and data discovery with a semantic layer—for both AI and humans—by rigorously reviewing, refining, and iterating on AI‑generated code and analyses.
• Act as a performing data steward, defining and enforcing rigorous data governance standards while managing metadata frameworks to ensure data compliance and discoverability.
• Drive a high level of data quality and observability of our data at all stages of the data lifecycle.
• Support modernization and migration initiatives from legacy reporting platforms.
• Perform unit tests and conduct reviews with other team members to ensure code is rigorously designed, elegantly coded, and effectively tuned for performance.
• Drive a single source of truth of trusted metrics and data that users can find and understand easily and make decisions with confidence.

• Driving high data and code quality, consistency, and simplicity.
• 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.
• Enhancing self‑service offering with enhanced data cubes, dashboards, and AI interfaces.
• Consulting on the design and implementation of new production and data storage systems.

• Driving current and future strategy by leveraging analytical skills.
• Assisting with building and using models to test and validate data.
• Working with vast amounts of data in new and evolving environments.
• Leveraging analytics to create a customer experience above our peers.
• Being part of the full life cycle of projects and seeing end results.
• Collaborating across business units.
• Working with top talent in a fast‑paced, entrepreneurial environment where analytics and good data are a top priority.
• Experiencing real work‑life balance, with little travel involved.

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 role 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 analytics engineering component.

• Currently has, or is in the process of obtaining a Bachelor’s Degree in a 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 the 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.

• Master’s Degree in a Science, Technology, Engineering, or 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 year of project management experience.
• At least 1 year of experience in Tableau.
• Proficient utilizing and developing within AWS services.

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. 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 agreedupon number of hours to be regularly worked.

McLean, VA: $164,800 - $188,100
New York, NY: $179,700 - $205,100

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. Eligibility varies based on full or part‑time status, exempt or non‑exempt status, and management level.

Capital One is an equal‑opportunity employer (EOE, including disability/vet) committed to non‑discrimination in compliance with applicable federal, state, and local laws.