Data Analytics Manager, Global Network Analytics, Payments

Capital One Financial

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Riverwoods, ILNew York, NYChicago, IL
Salary
$179,700–$205,100 / yr
Posted
31 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $199k
This role $192k
$156k most similar roles pay here $241k

This role pays less than 53% of similar roles. Most pay $165,375–$233,012 — the shaded band above. At the midpoint, this role pays about $192k versus about $199k 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 Analytics Manager, Global Network Analytics, Payments

Data Analytics Manager - Global Network Analytics - Payments joins the Global Network Analytics team within the Global Payment Network business to provide analytical solutions across the participant management lifecycle. This role involves mining data to uncover crucial information, identifying process and reporting improvements, and managing large, complex databases containing millions to billions of records. The manager will build models to test and validate data, consult on new production and data storage systems, and evaluate product offerings through strategic testing. Key technical requirements include proficiency in Python, R, Spark, SQL, and Tableau, along with experience utilizing AWS services. The role addresses critical payment business challenges including marketing, pricing, fraud, optimization, automation, restitution, and GenAI modeling. Candidates must possess strong problem-solving skills and a background in Business Intelligence to drive strategy and improve operational efficiencies within this fast-paced environment.

What you'll do

  • Mine large and complex databases containing millions or billions of records to extract crucial information.
  • Identify and implement improvements for organizational processes, data quality, and reporting systems.
  • Build and utilize models to test and validate data across evolving environments.
  • Conduct analyses to evaluate product offerings, marketing materials, and operational effectiveness.
  • Consult on the design and implementation of new production and data storage systems.
  • Develop and execute strategic tests for products and initiatives to improve customer experience.
  • Drive organizational strategy by leveraging advanced analytical skills and innovative technologies.

What we're looking for

  • Bachelor's degree in a quantitative field or Master's degree with at least 4 years of data analytics experience.
  • At least 6 years of experience performing data analytics if holding a Bachelor's degree.
  • At least 4 years of experience performing professional data analysis work.
  • At least 4 years of experience performing programming.
  • At least 4 years of experience with Python, R, Spark, or SQL.
  • At least 1 year of experience in people management.
  • At least 1 year of experience in project management.
  • At least 1 year of experience in Tableau and proficiency in AWS services.

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