Principal Data Analyst - Enterprise Services

Capital One

McLean, VA, US
Mclean, va: $131,300 - $149,800; richmond, va: $11...
Leverage analytic and technical skills
Mine complex, voluminous data
Build well-managed data solutions
As a Data Analyst at Capital One you will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems

Job Summary

  • As a Data Analyst at Capital One you will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems.
  • On any given day you will be challenged on three types of work – Innovation, Business Intelligence and Data Management.
  • Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.

Matching Summary

As a Data Analyst at Capital One you will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems.

Salary

McLean, VA: $131,300 - $149,800; Richmond, VA: $119,400 - $136,200; Bonus/Equity: performance based incentive compensation; Benefits: comprehensive, competitive, and inclusive set of health, financial and other benefits

Skills & Requirements

Must-have

  • Leverage analytic and technical skills
  • Mine complex, voluminous data
  • Build well-managed data solutions
  • Develop tools for insights and visualization
  • Drive analysis for business strategies
  • Data quality management principles
  • Manage security mechanisms and data access

Nice-to-have

  • Explore and grasp new technologies
  • Collaborate with Tech teams
  • Process management and improvement methodologies

Key Requirements

  • Bachelor’s Degree in quantitative field plus 5 years experience or Master’s Degree plus 3 years experience
  • At least 3 years of experience working with at least one scripting language
  • At least 3 years of experience utilizing a business intelligence visualization tool
  • At least 3 years of experience in querying, analyzing and working with data languages and platforms
  • At least 4 years of experience coding in Python, R, Spark, or SQL
  • At least 2 years of experience utilizing and developing within AWS services
  • At least 2 years of experience delivering Data Governance and Data Quality Management concepts

Work Rights

Not specified

Sponsorship: available

Tailored Resume

Cover Letter