Capital One
Senior Data Analyst - Enterprise Services
$101K–$138K
McLean, VA +4 · Senior · Full-time · Posted Oct 21, 2026
- Location
- McLean, VA
Richmond, VA
San Francisco, CA
Chicago, IL
New York, NY - Experience
- Bachelor’s route: at least 2 years performing data analytics; Master’s route: no additional years specified. At least 1 year each in scripting, BI visualization, and working with data languages and platforms.
- Education
- Bachelor’s Degree in a quantitative field, or a Master’s Degree with the required degree obtained on or before the scheduled start date.
- Visa sponsorship
- Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
About the job
Build and maintain data solutions, analytics, dashboards, and data quality capabilities to support business decisions and data governance.
What you'll do
- Mine diverse data sources and develop self-service data tools and capabilities.
- Partner with the business to create analytics, metrics, dashboards, and insights.
- Support data quality, metadata, lineage, security, and data access governance.
What they ask for
- Bachelor’s Degree in a quantitative field plus at least 2 years of data analytics experience, or a Master’s Degree obtained by the scheduled start date.
- At least 1 year of experience with a scripting language.
- At least 1 year of experience using a business intelligence visualization tool.
- At least 1 year of experience querying, analyzing, and working with data languages and platforms.
Nice to have
- Master’s Degree in a Science, Technology, Engineering, Mathematics discipline.
- At least 2 years coding in Python, R, Spark, or SQL; process improvement experience, AWS, or data governance and quality experience are also preferred.
Pay
USD $111,200 - $126,900 base salary (McLean, VA); USD $101,100 - $115,400 base salary (Richmond, VA); USD $121,300 - $138,400 base salary (New York, NY); USD $101,100 - $115,400 base salary (Chicago, IL); USD $121,300 - $138,400 base salary (San Francisco, CA)
Tools
Python, R, Spark, SQL, Snowflake, AWS, Informatica DQ, Agile
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