Senior Manager, Data Analyst, Product Analytics

Capital One Financial

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
—
Salary
$200,700–$229,100 / yr
Employment
Full-time
Posted
1 day ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $192k
This role $215k
$156k most similar roles pay here $237k

This role pays more than 74% of similar roles. Most pay $168,875–$215,025 — the shaded band above. At the midpoint, this role pays about $215k versus about $192k 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 1744 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 948 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Senior Manager, Data Analyst, Product Analytics

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Senior Manager, Data Analyst - Product Analytics joins the Enterprise Data team to solve complex business and product challenges across various Enterprise Data Product teams. This role focuses on measuring and improving the performance and health of products and platforms by transforming complex data into actionable, AI-enabled insights that shape product strategy. Daily responsibilities include refining an enterprise-wide analytical tools validation framework, executing validation projects, assessing tool quality and risk, and prototyping industry best practices for emerging tools. The candidate will also coach and mentor junior staff while communicating results through reports and presentations. Required skills include experience with open source data technologies, large data sets, statistical or econometric modeling, predictive analytics, and data governance. The role addresses the technical challenge of building a modern enterprise data ecosystem to support real-time, intelligent experiences on a scalable foundation.

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