Senior Manager, Data Analysis

Capital One Financial

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
McLean, VA
Salary
$200,700–$229,100 / yr
Employment
Full-time
Posted
2 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $183k
This role $215k
$138k $239k
below market most similar roles pay here above market

This role pays more than 78% of similar roles. Most pay $151,689–$214,900 — the blue band above. At the midpoint, this role pays about $215k versus about $183k 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 2276 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 1147 roles with salary data.

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View all roles at Capital One Financial

At a glance

TL;DR · Senior Manager, Data Analysis

The Sr. Manager, Data Analysis joins a team focused on validating business-impacting analytical tools. In this role, you will partner cross-functionally to refine an enterprise-wide analytical tools validation framework, plan and execute validation projects, and assess the quality and risk of analytical tool methodologies. You will independently research and prototype industry best practices for emerging tools while communicating results through validation reports and presentations. Key responsibilities include coaching junior staff and identifying technical issues or risks within existing processes. The position requires expertise in open source data technologies, statistical or econometric modeling, and predictive analytics. Candidates must demonstrate proficiency in manipulating large data sets and managing data governance. This role solves critical business problems by ensuring the reliability and integrity of the analytical tools used for data-driven decision-making.

What you'll do

  • Refine a new enterprise-wide analytical tools validation framework.
  • Plan and execute validation projects to assess the quality and risk of analytical tool methodologies.
  • Identify and prototype industry best practices for emerging analytical tools.
  • Research and assess technical issues, risks, and opportunities within analytical tools.
  • Communicate results clearly through written validation reports and verbal presentations.
  • Coach and mentor junior staff members.
  • Develop solutions to business problems by leveraging education and training opportunities.

What we're looking for

  • Must have a Bachelor's degree in a quantitative field plus 7 years of data analytics experience, or a Master's degree plus 5 years of experience.
  • Must have at least 5 years of experience performing professional data analysis work.
  • Must have at least 5 years of experience leading and developing with open source data technologies.
  • Must have at least 2 years of experience managing people.
  • Master’s Degree or PhD in a Finance, Economics, Statistics, Mathematics, Industrial Engineering, Operations Research, or a related field (preferred).
  • At least 7 years of experience in statistical or econometrics hands-on work (preferred).
  • At least 5 years of experience manipulating and performing analysis with large data sets (preferred).
  • At least 5 years of experience in financial services industry (preferred).

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