Data Analysis Manager - Enterprise Consumer Products

Capital One Financial

Quick summary

Work type: On-site
Location: McLean, VA · Richmond, VA · San Francisco, CA · Chicago, IL · New York, NY
Salary: $164,800–$188,100 / yr
Posted: 39 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $173k

This role $176k

$126k most similar roles pay here $221k

This role pays more than 57% of similar roles. Most pay $135,000–$211,743 — the shaded band above. At the midpoint, this role pays about $176k versus about $173k 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 498 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 495 roles with salary data.

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View all roles at Capital One Financial

At a glance

TL;DR · Data Analysis Manager - Enterprise Consumer Products

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As a Data Analysis Manager in the Enterprise Consumer Products team, you will lead strategic initiatives by leveraging advanced analytical skills to build and validate models, work with large datasets, and develop innovative solutions. You’ll mentor junior analysts, collaborate across business units, and drive projects from conception to completion while focusing on enhancing customer experiences through superior data analytics. Key responsibilities include mining data for critical insights, implementing process improvements, and consulting on the design of new systems. Ideal candidates possess a strong background in quantitative fields with extensive experience in programming languages like Python, R, Spark, or SQL, as well as proficiency in tools such as Tableau and AWS services. This role demands expertise in Business Intelligence, AI workflows, and CI/CD processes to tackle complex business challenges at scale.

Skills

Python R SQL Tableau AWS CI/CD Spark GitHub Project Management Data Mining Database Design BI Tools DevOps Processes

What you'll do

Drive strategic initiatives through advanced data analysis and modeling.
Lead a team of junior analysts in professional development and mentoring.
Implement process improvements to enhance operational efficiency.
Analyze large datasets to inform product offerings and marketing strategies.
Design and oversee the implementation of new production and data storage systems.

What we're looking for

Bachelor’s Degree in quantitative field plus at least 6 years of data analytics experience
Master’s Degree plus at least 4 years of professional data analysis work
At least 4 years of programming experience
Experience with Python, R, Spark or SQL
Proficiency in AWS services and Tableau
Knowledge of AI tools and workflows
Project management and people management experience

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