Manager, Data Analysis

Capital One Financial

Confirmed live 2 days ago Trusted

Quick summary

Work type
On-site
Location
McLean, VANew York, NY
Salary
$164,800–$188,100 / yr
Posted
78 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $188k
This role $176k
$153k most similar roles pay here $225k

This role pays less than 53% of similar roles. Most pay $159,669–$216,962 — the shaded band above. At the midpoint, this role pays about $176k versus about $188k 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 · Manager, Data Analysis

Manager, Data Analysis - Capital One Travel joins the Hotels Travel Agency team to serve as a primary partner for product and engineering teams. This role focuses on defining key performance indicators, building dashboards to track progress, and translating complex domain information into reliable data for business use. The analyst will perform ad hoc deep-dive analyses on customer behaviors, manage tracking plans for new product launches, monitor A/B tests, and troubleshoot data trends. To succeed, the candidate must possess technical skills in SQL, Python, R, Spark, Tableau, and AWS services, along with proficiency in AI-powered tools like Claude Code or Gemini. The role addresses the specific challenge of making complex hotel data accessible to the broader organization while ensuring high data quality and operational efficiency within a large, multi-billion record database environment.

What you'll do

  • Partner with Product and Engineering teams to define KPIs and build dashboards to track progress against business goals.
  • Conduct ad hoc deep-dive analyses to investigate customer behaviors and complex technical questions for decision-making.
  • Develop tracking plans and dashboards to measure the success of new product launches and monitor A/B tests.
  • Collaborate with Engineering to develop a more approachable data model and ensure high-quality, usable data.
  • Troubleshoot issues in data tracking and identify concerning trends within large, complex databases.
  • Identify and implement process improvements to increase operational efficiency and reporting accuracy.
  • Consult on the design and implementation of new production and data storage systems.

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 in data analytics.
  • At least 4 years of experience performing professional data analysis work.
  • At least 4 years of experience performing programming.
  • Experience with Python, R, Spark, or SQL to pull and transform raw data.
  • Proficiency utilizing and developing within AWS services.
  • Experience using AI-powered tools like Claude Code or Gemini to analyze data and code.
  • At least 1 year of experience in people management.
  • At least 1 year of experience in project management and 1 year of experience with Tableau.

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