Manager Data Analyst - Data Strategy and Risk Innovation, PULSE

Capital One Financial

Hybrid

Quick summary

Work type
Hybrid
Location
Houston, TX
Salary
$149,800–$171,000 / yr
Posted
11 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $175k
This role $160k
$125k most similar roles pay here $230k

This role pays less than 66% of similar roles. Most pay $135,000–$214,750 — the shaded band above. At the midpoint, this role pays about $160k versus about $175k 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 498 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 495 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Manager Data Analyst - Data Strategy and Risk Innovation, PULSE

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As a Manager Data Analyst on Capital One's Data Strategy and Risk Innovation team within PULSE Network, you will lead the development of data-driven strategies that are both effective and compliant with regulatory frameworks. Your daily tasks include designing risk programs, conducting root-cause analyses, and translating complex findings into actionable insights for senior leadership. You will collaborate closely with technical teams to optimize risk data architecture and ensure accurate, accessible data for advanced analytics. Ideal candidates have a strong background in quantitative fields and at least 4 years of professional data analysis experience, along with proficiency in Python, R, Spark, or SQL. This role requires expertise in payment network knowledge, critical thinking, and the ability to bridge technical and non-technical teams effectively.

Skills

Python R SQL Spark Tableau AWS CI/CD Kubernetes Docker PostgreSQL Git Jenkins Snowflake BigQuery Hadoop PySpark Airflow MongoDB Redis

What you'll do

  • Drive data strategy by designing and implementing risk monitoring programs.
  • Conduct root-cause analyses on transactions to develop actionable risk mitigation strategies.
  • Advise product teams on risk implications of new data strategies and technologies.
  • Design and optimize the architecture for risk data environments with Data Engineering.
  • Synthesize technical data into clear narratives for senior leadership reports.

What we're looking for

  • At least 4 years of professional data analysis work experience.
  • Strong proficiency in Python, R, Spark, or SQL for data manipulation and analysis.
  • Experience designing and optimizing risk data architecture for advanced analytics.
  • Ability to translate complex technical findings into actionable strategies and clear narratives.
  • Expertise in identifying and implementing process improvements for large-scale databases.
  • Proven track record of strategic advising on risk implications of new data strategies.
  • Proficient in AWS services, with experience utilizing and developing within the platform.

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