Principal Data Analyst - Human Resources

Capital One

McLean, VA, US
Mclean, va: $131,300 - $149,800; richmond, va: $11...
Not specified
Python, r, spark, and sql scripting
Data warehouses/sql, unstructured data
Aws services development
Capital One is seeking a Principal Data Analyst for their Human Resources department to leverage data analytics and technical skills to drive business intelligence and data management efforts. The ideal candidate should have a strong background in quantitative fields, experience with scripting languages, and familiarity with AWS services

Job Summary

  • Leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems.
  • Partner with the business to provide consultancy and translate business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization.
  • Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions.

Matching Summary

Match Score: 85

Capital One is seeking a Principal Data Analyst for their Human Resources department to leverage data analytics and technical skills to drive business intelligence and data management efforts. The ideal candidate should have a strong background in quantitative fields, experience with scripting languages, and familiarity with AWS services.

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

  • Python, R, Spark, and SQL scripting
  • data warehouses/SQL, unstructured data
  • AWS services development
  • business intelligence visualization tool
  • data quality management principles

Nice-to-have

  • process management and improvement methodologies
  • Agile, Lean, Six Sigma
  • financial services industry experience

Key Requirements

  • Bachelor’s Degree in quantitative field plus 5 years of experience
  • Master’s Degree plus 3 years of experience
  • At least 3 years of experience with scripting language
  • At least 3 years of experience with BI visualization tool
  • At least 3 years of experience with data languages and platforms

Work Rights

Not specified

Sponsorship: available

Tailored Resume

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