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Manager, Data Analytics – Data Governance and Programs
Capital One. Manage data-adjacent risks within the Data Governance and Pricing team of Global Payment Networks .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data analytics, risk management, and process improvement, with a strong foundation in programming and data modeling. Proven ability to lead teams, manage projects, and collaborate across business units to drive strategic initiatives.
Highest-signal resume keywords
Data AnalyticsPython ProgrammingRisk ManagementProject ManagementTableau
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisProgrammingStatistical ModelingData MiningProcess ImprovementData ValidationDatabase ManagementAnalytical SkillsAWS DevelopmentSQL
Soft Skills
LeadershipCommunicationInterpersonal SkillsProblem-SolvingConceptual Thinking
Tools & Technologies
TableauAWSSparkSQLPythonR
Industry Keywords
Data GovernanceGlobal Payment NetworksOperational EfficiencyRisk Management FrameworksData Storage Systems
Tech Stack
Tools & technologiesAWSPythonSparkSQLTableau
About the role
Key responsibilities & impact- Manage data-adjacent risks within the Data Governance and Pricing team of Global Payment Networks
- Develop overarching programs, controls, and processes to mitigate data risks across Global Payment Networks
- Drive current and future strategy using analytical skills
- Build and use models to test and validate data
- Work with large and complex databases containing millions to billions of records
- Lead and mentor junior analysts
- Participate in the full life cycle of projects
- Collaborate across business units
- Mine data to produce crucial organizational information
- Identify and implement process, data, and reporting improvements
- Improve operational efficiency and effectiveness
- Conduct process analysis and testing
- Extract and analyze data to evaluate 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
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
- At least 4 years of experience performing professional data analysis work
- At least 4 years of experience performing programming
- Master’s Degree in a Science, Technology, Engineering, Mathematics 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 (preferred)
- Proficient utilizing and developing within AWS service (preferred)
- Strong problem-solving and conceptual-thinking abilities
- Communication, interpersonal, and leadership skills
- Ability to handle multiple concurrent projects independently and in teams
- Understanding of applicable risk management frameworks, policies, and standards
- Capital One will consider sponsoring a new qualified applicant for employment authorization
Benefits
Comp & perks- Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives (LTI)
- Comprehensive, competitive, and inclusive health, financial, and other benefits supporting total well-being
- Little travel involved / work-life balance
- Reasonable accommodations for applicants with disabilities