Principal Data Analyst - Human Resources

Capital One

McLean, VA, US
Base: $131,300 - $149,800 (mclean, va); $119,400 -...
Not specified
Data mining complex data sources
Build data solutions and tools
Develop business intelligence dashboards
Capital One is seeking a Principal Data Analyst for its Human Resources division, tasked with leveraging data analytics, innovation, and business intelligence to solve complex business problems. The ideal candidate should have strong technical skills, particularly in data management and scripting languages, along with a background in quantitative fields

Job Summary

  • 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

Match Score: 85

Capital One is seeking a Principal Data Analyst for its Human Resources division, tasked with leveraging data analytics, innovation, and business intelligence to solve complex business problems. The ideal candidate should have strong technical skills, particularly in data management and scripting languages, along with a background in quantitative fields.

Salary

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

Skills & Requirements

Must-have

  • Data mining complex data sources
  • Build data solutions and tools
  • Develop business intelligence dashboards
  • Drive data analysis for insights
  • Data quality management principles
  • Collaborate with Tech teams

Nice-to-have

  • Explore and grasp new technologies
  • Partner with the business
  • Process management and improvement methodologies

Key Requirements

  • Bachelor’s Degree in quantitative field plus 5 years experience
  • Master’s Degree plus 3 years experience
  • At least 3 years scripting language experience
  • At least 3 years BI visualization tool experience
  • At least 3 years querying and analyzing data

Work Rights

Not specified

Sponsorship: available

Tailored Resume

Cover Letter