Data Analysis Manager, Enterprise Services Risk Analytics

Capital One Financial

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Quick summary

Work type: On-site
Location: New York, NYRichmond, VAMcLean, VA
Salary: $164,800–$188,100 / yr
Employment: Full-time
Posted: 6 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $178k

This role $176k

$136k $219k

below market most similar roles pay here above market

This role pays more than 53% of similar roles. Most pay $143,975–$211,200 — the blue band above. At the midpoint, this role pays about $176k versus about $178k 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 · Data Analysis Manager, Enterprise Services Risk Analytics

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Data Analysis Manager - Enterprise Services Risk Analytics joins the Enterprise Services Risk Analytics team to drive strategy by leveraging advanced analytical skills. This role involves leading and mentoring a team of junior analysts while managing the full life cycle of complex projects. Daily responsibilities include mining data from databases containing millions to billions of records, identifying process improvements, and consulting on the design of new production and data storage systems. The position requires extracting information to gauge product offerings and implementing strategic tests for marketing materials. Key technical requirements include proficiency in Python, R, Spark, SQL, Tableau, and AWS services, along with experience in Infrastructure as Code tools like Terraform or AWS CloudFormation. The role focuses on solving operational efficiency problems within a fast-paced, data-driven business environment.

Skills

Python R SQL Spark AWS Terraform AWS CloudFormation Tableau Business Intelligence Infrastructure as Code Statistical Modeling

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.
Manage large and complex databases containing millions to billions of records.
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 and mentor a team of junior analysts to elevate their professional careers.
Conduct analysis to evaluate processes, tests, and product offerings.

What we're looking for

Must have a Bachelor’s degree in a quantitative field and at least 6 years of data analytics experience.
Must have a Master’s degree and at least 4 years of data analytics experience.
Must have at least 4 years of experience performing professional data analysis work.
Must have at least 4 years of experience performing programming.
Master’s degree in a Science, Technology, Engineering, or 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 2 years of experience in people management (preferred).

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