Senior Data Analyst, Card

Capital One Financial

Confirmed live today High trust

Quick summary

Work type: On-site
Location: McLean, VARichmond, VA
Employment: Full-time
Posted: 6 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

How this pay compares to similar roles

Similar $163k

$110k $207k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $127,400–$197,850.

Based on 240 similar postings.

Employer

About Capital One Financial

Capital One Financial is a bank holding company specializing in credit cards, auto loans, banking, and savings products, known for its data-driven approach to consumer and commercial finance. Industry: Financial Services & Banking

Capital One Financial currently has 1917 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 1045 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Senior Data Analyst, Card

Role Posting Log in to save

The Senior Data Analyst - Card joins the team to innovate, build, and maintain well-managed data solutions to tackle complex business problems. The role involves mining voluminous data sources to build self-service frameworks, providing consultancy to translate business needs into metrics and dashboards, and driving analysis for business strategies. Key responsibilities include managing data quality, metadata, and lineage while collaborating with tech teams on security and access governance. Candidates must utilize scripting languages including Python, R, Spark, and SQL to work with data warehouses and unstructured data. The position requires experience with AWS services and business intelligence visualization tools. The work focuses on the credit card product area, specifically solving problems related to data quality management, data governance, and providing actionable insights through technical data modeling.

What does a Data Analyst earn?

Median $120900 from 80 postings across 23 companies.

See salary data

Skills

Python R Spark SQL AWS Data Visualization Informatica DQ Agile Lean Six Sigma Data Governance Data Quality Management Metadata data, lineage

What you'll do

Mine complex and voluminous data sources using open source and digital technologies.
Build well-managed data solutions and tools to enable self-service frameworks for data consumers.
Design and develop metrics, tools, and dashboards to translate business needs into data visualizations.
Drive analysis that provides meaningful insights on business strategies.
Manage data quality principles including metadata, lineage, and business definitions.
Work with tech teams to manage security mechanisms and data access governance.
Build and execute tools to monitor and report on data quality.

What we're looking for

Must have a Bachelor's degree in a quantitative field plus 2 years of data analytics experience, or a Master's degree in a quantitative field.
Must have at least 1 year of experience working with at least one scripting language.
Must have at least 1 year of experience utilizing a business intelligence visualization tool.
Must have at least 1 year of experience querying, analyzing, and working with data languages and platforms.
Must have experience with data in various forms, including data warehouses and unstructured data.
Master’s Degree in a Science, Technology, Engineering, Mathematics discipline (preferred).
At least 2 years of experience coding in Python, R, Spark, or SQL (preferred).
At least 2 years of experience working within process management and improvement methodologies such as Agile, Lean, or Six Sigma (preferred).

Save