Manager, Data Analysis

Capital One Financial

Confirmed live yesterday Trusted

Hybrid

Quick summary

Work type: Hybrid
Location: McLean, VARichmond, VA
Salary: $164,800–$188,100 / yr
Employment: Full-time
Posted: 33 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $185k

This role $176k

$138k $219k

below market most similar roles pay here above market

This role pays more than 54% of similar roles. Most pay $159,000–$211,200 — the blue band above. At the midpoint, this role pays about $176k versus about $185k for comparable roles.

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 2107 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 1107 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Manager, Data Analysis

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The Manager, Data Analysis - US Card joins the team to build and maintain well-managed data solutions that address complex business problems. This role involves mining large databases containing millions to billions of records to extract crucial information, identifying process improvements, and consulting on the design of new production and data storage systems. You will develop strategic tests for products and marketing materials while improving operational efficiencies. The position requires proficiency in programming and data analysis, specifically utilizing Python, R, Spark, SQL, Tableau, and AWS services. Candidates must possess strong problem-solving, conceptual thinking, and leadership skills to handle multiple concurrent projects. The work focuses on leveraging analytical rigor to evaluate processes, validate models, and gauge product offerings within a fast-paced, data-driven environment.

Skills

Python R Spark SQL AWS Tableau Data Mining Statistical Modeling Data Analytics Data Storage Systems Reporting Improvements

What you'll do

Build and use models to test and validate data.
Mine large and complex databases to extract crucial information for the organization.
Identify and implement improvements for processes, data, and reporting.
Improve operational efficiencies and effectiveness across the organization.
Conduct analysis to evaluate processes and tests.
Extract and analyze data to gauge product offerings.
Consult on the design and implementation of new production and data storage systems.
Develop and implement strategic tests for products, initiatives, and marketing materials.

What we're looking for

Bachelor’s Degree in a quantitative field plus at least 6 years of experience performing data analytics.
Master’s Degree plus at least 4 years of experience performing data analytics.
At least 4 years of experience performing professional data analysis work.
At least 4 years of experience performing programming.
Master’s Degree in a Science, Technology, Engineering, Mathematics discipline (preferred).
At least 7 years of professional data analysis work experience (preferred).
At least 4 years of experience with Python, R, Spark or SQL (preferred).
At least 1 year of experience in people management (preferred).
At least 1 year of experience in project management (preferred).
At least 1 year of experience in Tableau (preferred).
Proficient utilizing and developing within AWS service (preferred).

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