Senior Manager, Data Analysis

Capital One Financial

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Quick summary

Work type
On-site
Location
Plano, TX
Salary
$182,500–$208,300 / yr
Employment
Full-time
Posted
33 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $184k
This role $195k
$137k $223k
below market most similar roles pay here above market

This role pays more than 68% of similar roles. Most pay $153,262–$214,900 — the blue band above. At the midpoint, this role pays about $195k versus about $184k 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.

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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 data-driven decision-making to validate business-impacting analytical tools. This role involves refining an enterprise-wide validation framework, planning projects to assess methodology quality and risk, and identifying industry best practices for emerging tools. The successful candidate will research, prototype, and communicate results through validation reports and presentations while coaching junior staff. Key requirements include a quantitative degree and extensive experience in data analytics, leading with open source data technologies, and managing people. Technical competencies include manipulating large data sets, developing statistical or econometric models, and performing predictive analytics. The work centers on identifying technical issues and risks within analytical tools to ensure robust data governance and reliable business strategies across the financial services industry.

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.
  • Communicate results clearly through written validation reports and verbal presentations.
  • Develop solutions to business problems by leveraging education and training opportunities.
  • Coach and mentor junior staff members.

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.
  • 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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