Sr. Data Analyst - Retail Bank
$111,200–$126,900 year
On-siteRichmond, Virginia, United States or McLean, Virginia, United States
Job Summary
Mine complex, voluminous data sources using open-source and digital technologies to build self-service frameworks. Partner with business units to translate needs into dashboards and metrics that drive strategic insights. Manage data quality, lineage, and governance while collaborating with tech teams on security and access controls. Execute tools to monitor reporting and maintain well-managed data solutions across retail banking operations. This role sits within Capital One's Consumer Bank, leveraging analytics to design and test financial experiences for customers.
Required Qualifications
- Degree specialized in a Science, Technology, Engineering, Mathematics discipline
- Scripting experience in (Python, R, Spark, and SQL)
- 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 2 years of experience performing data analytics
- Currently has, or is in the process of obtaining a Master's Degree with an expectation that required degree will be obtained on or before the scheduled start date
- At least 1 year of experience working with at least one scripting language
- At least 1 year of experience utilizing business intelligence visualization tool
- At least 1 year of experience querying, analyzing and working with data languages and platforms
Desired Qualifications
- Master's Degree in a Science, Technology, Engineering, Mathematics discipline
- At least 2 years of experience coding in Python, R, Spark, or SQL
- At least 2 years of experience working within process management and improvement methodologies – Agile, Lean, Six Sigma, etc.
- At least 1 year of experience utilizing and developing within AWS services
- At least 1 year of experience working with and demonstrating knowledge of data governance, data quality management concepts and data quality tools (i.e. Informatica DQ)
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