Senior Associate, Compensation Analytics

Capitalonecareers Com Ph

McLean, VA, USA
Base: $111,200 - $126,900; bonus/equity: performan...
Not specified
Compensation analysis
Job benchmarking
Data-driven approach
Capital One is seeking a Senior Associate for its Compensation Analytics team in McLean, VA. The ideal candidate will have a background in compensation, finance, or analytics, with strong analytical and communication skills, and will contribute to data-driven compensation strategies in a collaborative environment

Job Summary

  • We are a team of Total Rewards leaders who enable game-changing business results by bringing a data-driven approach to compensation that is designed to unleash greatness in our associates.
  • In this position, you will be tasked with performing compensation analysis on essential initiatives, including semi-annual compensation cycles, job benchmarking against market standards, and collaborating with Compensation Consultants on diverse compensation inquiries.
  • 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: 75

Capital One is seeking a Senior Associate for its Compensation Analytics team in McLean, VA. The ideal candidate will have a background in compensation, finance, or analytics, with strong analytical and communication skills, and will contribute to data-driven compensation strategies in a collaborative environment.

Salary

Base: $111,200 - $126,900; Bonus/Equity: performance based incentive compensation; Benefits: comprehensive, competitive, and inclusive set of health, financial and other benefits

Skills & Requirements

Must-have

  • Compensation analysis
  • Job benchmarking
  • Data-driven approach
  • Excel or Google Sheets
  • Workday testing

Nice-to-have

  • Continuous improvement
  • Collaborative environment
  • Data-based stories
  • Agile delivery

Key Requirements

  • Bachelor’s Degree or military experience
  • 1+ year experience in Compensation, Finance, or Analytics
  • 1+ year experience in Excel or Google Sheets
  • 2+ years experience in Compensation, Finance, or Analytics
  • 2+ years experience with Excel and developing data-based stories
  • 1+ year experience with Workday or Workday Advanced Compensation module
  • 1+ year experience in SQL
  • 1+ year experience in Python
  • Certified Compensation Professional (CCP)

Work Rights

Not specified

Tailored Resume

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