Principal Data Analyst - Human Resources

Capital One

McLean, Virginia, United States
Base: mclean va $131,300-$149,800; richmond va $11...
Not specified (assumed hybrid based on industry trends).
Python, r, spark, and sql scripting experience
Business intelligence visualization tools usage
Aws services development and utilization
Capital One is seeking a Principal Data Analyst in Human Resources, focusing on leveraging data analytics to drive business insights and solutions. The ideal candidate will possess extensive experience in data analytics, scripting languages, and business intelligence, alongside a strong educational background in quantitative fields

Job Summary

  • The role involves leveraging analytic and technical skills to innovate, build, and maintain well-managed data solutions for Capital One's human resources division.
  • Candidates will partner with the business to translate needs into metrics, dashboards, and insights while adhering to strict data quality and security standards.
  • This position offers a competitive salary range of $119,400 to $149,800 depending on location, along with performance-based incentive compensation and comprehensive benefits.

Matching Summary

Match Score: 85

Capital One is seeking a Principal Data Analyst in Human Resources, focusing on leveraging data analytics to drive business insights and solutions. The ideal candidate will possess extensive experience in data analytics, scripting languages, and business intelligence, alongside a strong educational background in quantitative fields.

Salary

Base: McLean VA $131,300-$149,800; Richmond VA $119,400-$136,200; Bonus/Equity: Performance based incentive compensation including cash bonuses and/or long term incentives; Benefits: Comprehensive health, financial, and other benefits supporting total well-being

Skills & Requirements

Must-have

  • Python, R, Spark, and SQL scripting experience
  • Business intelligence visualization tools usage
  • AWS services development and utilization
  • Data quality management and governance principles

Nice-to-have

  • Agile, Lean, Six Sigma process methodologies
  • Experience in financial services industry
  • Strong desire to explore new technologies

Key Requirements

  • Bachelor's degree in quantitative field plus 5 years experience
  • Master's degree plus 3 years experience in analytics
  • At least 3 years experience with scripting languages
  • At least 3 years experience with BI visualization tools
  • Employment authorization sponsorship available for qualified applicants

Work Rights

Not specified

Sponsorship: available

Tailored Resume

Cover Letter