Data Analysis Manager, Risk Product Data

Capital One Financial

Confirmed live today Low trust

Quick summary

Work type: On-site
Location: McLean, VARichmond, VAChicago, IL
Employment: Full-time
Posted: 53 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $188k

$154k $224k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $160,400–$215,325.

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.

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At a glance

TL;DR · Data Analysis Manager, Risk Product Data

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The Data Analysis Manager - Risk Product Data leads a team of junior analysts to drive strategy through advanced analytical skills. This role involves mining large, complex databases containing millions to billions of records to identify crucial information and improve operational efficiencies. Key responsibilities include building models to test and validate data, consulting on the design of new production and data storage systems, and implementing strategic tests for products and marketing materials. The position requires proficiency in Python, R, Spark, SQL, Tableau, and AWS services. Candidates must possess strong problem-solving, conceptual thinking, and leadership skills to manage concurrent projects. The work focuses on leveraging data to evaluate product offerings, improve reporting, and enhance the customer experience within a fast-paced, entrepreneurial environment.

Skills

Python R SQL Spark AWS Tableau Business Intelligence Statistical Modeling Data Analytics Project Management

What you'll do

Mine data to extract specific and crucial information for the organization.
Build and use models to test and validate data.
Identify and implement process, data, and reporting improvements.
Consult on the design and implementation of new production and data storage systems.
Develop and implement strategic tests of products, initiatives, and marketing materials.
Lead, mentor, and develop a team of junior analysts.
Conduct analysis to evaluate processes and gauge product offerings.
Improve operational efficiencies and effectiveness across the organization.

What we're looking for

Bachelor’s Degree in a quantitative field plus at least 6 years of data analytics experience.
Master’s Degree plus at least 4 years of data analytics experience, with the degree obtained by the start date.
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, project management, Tableau, or AWS (preferred).

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