Senior Data Analyst: Analytics & Transformation

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

Job summary

Capital One is seeking a Senior Data Analyst within Analytics & Transformation in Virginia. You will leverage analytics and technical skills to build data solutions, contribute to innovation, BI, and data management initiatives.

You will partner with business units to translate needs into dashboards, metrics, and actionable insights, while ensuring data quality and governance across data platforms including Snowflake and AWS. A strong foundation in Python, R, Spark, and SQL is expected.

Qualifications

• Bachelor’s degree in a quantitative field with 2+ years of data analytics experience, or a Master’s with degree expected by start date.
• At least 1 year of scripting language experience.
• At least 1 year of experience with a business intelligence visualization tool.
• At least 1 year of experience querying, analyzing and working with data languages and platforms.

Responsibilities

• Innovate using Open Source/Digital technologies to mine data from diverse sources.
• Build well-managed data solutions and self-service capabilities for data consumers.
• Partner with business to design dashboards and metrics for insights and data visualization.
• Drive data quality management, metadata, lineage, and business definitions.
• Collaborate with Tech teams to manage data access governance and security.

Skills

Python

R

Spark

SQL

Data analysis

Education

Bachelor’s degree in quantitative field

Master’s degree

Tools

Snowflake

AWS

Informatica DQ

Job description

Capital One is seeking a Senior Data Analyst within Analytics & Transformation in Virginia. You will leverage analytics and technical skills to build data solutions, contribute to innovation, BI, and data management initiatives.

You will partner with business units to translate needs into dashboards, metrics, and actionable insights, while ensuring data quality and governance across data platforms including Snowflake and AWS. A strong foundation in Python, R, Spark, and SQL is expected.