Senior Data Analyst: Innovate, Visualize & Govern Data

Capital One Group; Richmond (VA); On-site; USD 101,000 - 115,000; Full time

Job summary

Capital One seeks a Senior Data Analyst for the Card division to drive data solutions, dashboards, and quality governance. You will work across innovation, BI, and data management to translate business needs into analytic tools and insights. Strong scripting in Python, R, Spark, and SQL, coupled with AWS experience, is required.

The role emphasizes collaboration with Tech teams, data quality, and scalable data platforms, supporting informed decisions and governance across multiple data domains.

Qualifications

• Bachelor’s degree in Statistics, Economics, OR Analytics, Mathematics, CS or related quantitative field with 2+ years of data analytics experience.
• 1+ year of scripting experience in at least one language (Python, R, Spark, or SQL).
• 1+ year of experience with a BI visualization tool and with data languages/platforms.
• Preferred: 2+ years coding in Python, R, Spark, or SQL; experience with data governance concepts and Informatica DQ.

Responsibilities

• Mine and integrate data from diverse sources to build scalable data solutions.
• Develop dashboards and metrics to enable data-driven decisions.
• Ensure data quality and governance through metadata, lineage and business definitions.
• Collaborate with Tech teams to manage security and data access controls.

Skills

Python

R

Spark

SQL

Data analytics

Education

Bachelor’s degree in a quantitative field

Master’s degree in a STEM field

Tools

AWS

Informatica DQ

Job description

Capital One seeks a Senior Data Analyst for the Card division to drive data solutions, dashboards, and quality governance. You will work across innovation, BI, and data management to translate business needs into analytic tools and insights. Strong scripting in Python, R, Spark, and SQL, coupled with AWS experience, is required.

The role emphasizes collaboration with Tech teams, data quality, and scalable data platforms, supporting informed decisions and governance across multiple data domains.