Data Analytics Manager, Global Network Analytics, Payments

Capital One Financial

Confirmed live today High trust

Quick summary

Work type: On-site
Location: Riverwoods, ILNew York, NYChicago, IL
Salary: $179,700–$205,100 / yr
Employment: Full-time
Posted: 77 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 $193k

This role $192k

$154k $232k

below market most similar roles pay here above market

This role pays more than 54% of similar roles. Most pay $162,037–$223,412 — the blue band above. At the midpoint, this role pays about $192k versus about $193k 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 · Data Analytics Manager, Global Network Analytics, Payments

Role Posting Log in to save

The Data Analytics Manager - Global Network Analytics - Payments joins the Global Network Analytics team within the Global Payment Network business. This role focuses on providing analytical solutions across the participant management lifecycle, including marketing, pricing, fraud, and optimization. You will drive strategy by mining data from complex databases containing millions to billions of records to identify process and reporting improvements. Daily responsibilities include building models to test and validate data, consulting on new production and data storage systems, and extracting insights to gauge product offerings. The position requires proficiency in Python, R, Spark, SQL, Tableau, and AWS services. You will leverage these tools to improve operational efficiencies and develop strategic tests for products and marketing materials within a fast-paced, entrepreneurial environment focused on data-driven decision-making.

Skills

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

What you'll do

Mine data to extract specific and crucial information for the organization.
Identify and implement process, data, and reporting improvements.
Work with large and complex databases containing millions to billions of records.
Consult on the design and implementation of new production and data storage systems.
Develop and implement strategic tests for products, initiatives, and marketing materials.
Conduct analysis to evaluate processes, tests, and product offerings.
Build and use models to test and validate data.
Improve operational efficiencies and effectiveness across the business.

What we're looking for

Must have a Bachelor’s degree in a quantitative field plus 6 years of data analytics experience, or a Master’s degree plus 4 years.
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).
At least 1 year of experience in project management (preferred).
At least 1 year of experience in Tableau (preferred).
Proficient utilizing and developing within AWS service (preferred).

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