Data Analysis Manager, Central Analytics and Reporting

Capital One Financial

Confirmed live yesterday Trusted

Quick summary

Work type: On-site
Location: McLean, VA
Salary: $164,800–$188,100 / yr
Posted: 7 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 $175k

This role $176k

$130k most similar roles pay here $228k

This role pays more than 50% of similar roles. Most pay $139,150–$211,400 — the shaded band above. At the midpoint, this role pays about $176k versus about $175k 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 998 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 992 roles with salary data.

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View all roles at Capital One Financial

At a glance

TL;DR · Data Analysis Manager, Central Analytics and Reporting

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Data Analysis Manager - Office of the Chief Data Officer, Central Analytics and Reporting joins the Analytics & Transformation team to drive enterprise-wide data strategy. This role involves partnering with cross-functional teams to define, standardize, and publish data risk metrics while building dashboards and data products that provide visibility into management and governance. The manager will translate evolving policies into actionable insights, use AI to automate data risk metric consumption, and lead a team of junior analysts through the full project lifecycle. Key responsibilities include mining large databases containing millions of records and consulting on production and storage systems. Required technical skills include Python, R, Spark, SQL, Tableau, and AWS services. The role focuses on solving complex problems regarding data health, risk management, and operational efficiency within a high-volume environment to ensure data is well-managed and easy to govern.

Skills

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

What you'll do

Define, standardize, and publish enterprise data risk metrics across multiple lines of business.
Build and evolve dashboards and data products to provide visibility into data management and governance.
Monitor metrics to identify emerging risks and trends while generating actionable insights for leadership.
Translate evolving data policies and requirements into meaningful metrics and monitoring systems.
Use AI to automate and transform the creation, management, and consumption of data risk metrics.
Lead cross-functional initiatives and influence stakeholders without direct authority to drive strategy.
Present data-driven insights and recommendations to VP+ leaders and senior executives.
Manage, mentor, and develop a team of junior analysts to elevate their professional careers.

What we're looking for

Bachelor's degree in a quantitative field plus 6 years of experience or a Master's degree plus 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 STEM 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 and Tableau, and proficiency in AWS (preferred).

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