Data Analysis Manager, Analytics & Transformation

Capital One Financial

Confirmed live today High trust

Hybrid

Quick summary

Work type: Hybrid
Location: McLean, VARichmond, VANew York, NY
Salary: $164,800–$188,100 / yr
Employment: Full-time
Posted: 6 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $183k

This role $176k

$136k $230k

below market most similar roles pay here above market

This role pays less than 53% of similar roles. Most pay $152,262–$213,125 — the blue band above. At the midpoint, this role pays about $176k 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 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, Analytics & Transformation

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The Data Analysis Manager - Analytics & Transformation leads a team of junior analysts to drive strategy through advanced analytical skills. You will manage the full project life cycle, mining data from complex databases containing millions to billions of records to identify crucial information. Daily responsibilities include building models to test and validate data, implementing process and reporting improvements, and consulting on the design of new production and data storage systems. You will evaluate processes, gauge product offerings, and develop strategic tests for marketing materials. The role requires proficiency in Python, R, Spark, SQL, Tableau, and AWS services. You must possess strong problem-solving, conceptual thinking, and leadership skills to improve operational efficiencies and create a superior customer experience within a fast-paced, entrepreneurial environment.

Skills

Python R SQL Spark AWS Tableau Business Intelligence Statistical Modeling Data Analytics Data Storage Systems

What you'll do

Mine large and complex databases to extract crucial information for the organization.
Identify and implement improvements for processes, data, and reporting systems.
Build and use models to test and validate data accuracy.
Consult on the design and implementation of new production and data storage systems.
Develop and implement strategic tests for products, initiatives, and marketing materials.
Lead, mentor, and develop a team of junior analysts to elevate their careers.
Conduct analysis to evaluate operational processes and product offerings.
Leverage analytics to improve operational efficiencies and the customer experience.

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, 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 1 year of experience in people management (preferred).

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