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Capital One

Data Analytics Manager – PULSE Risk & Compliance

Capital One

. Drive current and future strategy using analytical skills .

Posted 10/9/2026full-timeUnited StatesMid-LevelSenior💰 $149,800 - $205,100 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data analytics, programming, and machine learning, with a strong focus on developing data-driven strategies and improving operational efficiency. Proficient in utilizing AWS services and managing complex databases to enhance customer experience and support business growth.

Highest-signal resume keywords
Data AnalyticsPython ProgrammingAWS ServicesMachine LearningProject Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data AnalysisStatistical ModelingDatabase ManagementData MiningProcess ImprovementData ArchitectureRisk ControlsCompliance MandatesProgrammingBusiness Intelligence
Soft Skills
Problem-SolvingCommunicationInterpersonal SkillsLeadershipConceptual Thinking
Tools & Technologies
TableauSparkSQLRData Storage Systems
Industry Keywords
Quantitative FieldOperational EfficiencyCustomer ExperienceEmerging MarketsData-Driven Strategies

Tech Stack

Tools & technologies
AWSPythonSparkSQLTableau

About the role

Key responsibilities & impact
  • Drive current and future strategy using analytical skills
  • Assist with building and using models to test and validate data
  • Work with vast amounts of data in evolving environments
  • Help grow and develop the brand in new and emerging markets
  • Leverage analytics to create a superior customer experience
  • Participate in the full project life cycle and deliver end results
  • Collaborate across business units
  • Mine data to produce crucial organizational information
  • Identify and implement process, data, and reporting improvements
  • Work with large and complex databases containing millions to billions of records
  • Improve operational efficiency and effectiveness
  • Conduct analysis to evaluate processes and tests
  • Extract and analyze data to gauge product offerings
  • Consult on the design and implementation of production and data storage systems
  • Develop and implement strategic tests of products, initiatives, and marketing materials
  • Ensure data-driven strategies are effective, scalable, ethical, explainable, and compliant with industry regulations

Requirements

What you’ll need
  • Bachelor’s Degree in a quantitative field plus at least 6 years of experience performing data analytics, or Master’s Degree plus at least 4 years of experience performing data analytics; required degree expected by scheduled start date
  • At least 4 years of experience performing professional data analysis work
  • At least 4 years of experience performing programming
  • Preferred: Master’s Degree in a STEM 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 project management experience
  • Preferred: At least 1 year of experience in Tableau
  • Proficient utilizing and developing within AWS services
  • Ability to work with machine learning, data architecture, modeling, regulatory frameworks, risk controls, and compliance mandates
  • Strong problem-solving and conceptual-thinking abilities
  • Communication, interpersonal, and leadership skills
  • Ability to handle multiple concurrent projects independently and in teams
  • Business Intelligence background strongly encouraged
  • Capital One will consider sponsoring a new qualified applicant for employment authorization

Benefits

Comp & perks
  • Performance-based incentive compensation, which may include cash bonus(es) and/or long-term incentives (LTI)
  • Comprehensive, competitive, and inclusive health, financial, and other benefits supporting total well-being
  • Hybrid work arrangement
  • Little travel involved
  • Reasonable accommodations for applicants who require them