Global Compensation Lead, Stores

Wayfair

Boston (MA)

Hybrid

USD 90,000 - 130,000

Full time

3 days ago
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Job summary

Wayfair seeks a Senior Analyst to join its Global Compensation team in Boston. This hybrid role combines 4 days in the office with 1 day of work-from-home, reporting to the Manager of Field Compensation.

You will shape compensation design for Wayfair Stores, relying on rigorous data analysis and governance to guide decisions worldwide. The ideal candidate has 2+ years in compensation, advanced Excel, and strong collaboration skills; Workday experience is a plus, with SQL/Python knowledge

Qualifications

  • Bachelor’s degree with a strong academic record.
  • 2+ years of work experience in Compensation.
  • Advanced Excel skills.
  • Excellent interpersonal, oral, and written communication skills.
  • Proven ability to meet delivery commitments.
  • Ability to handle extremely confidential and sensitive data.

Responsibilities

  • Primary lead for supporting our Stores vertical.
  • Perform annual benchmarking against industry data.
  • Partner with Legal, Finance, and Business leadership to design compensation plans.
  • Develop and formalize policy and governance framework documents.
  • Maintain and create compensation grades and job profiles in Workday
  • Perform audits on data and coordinate with Finance, Talent, and Recruiting to drive desired outcomes.

Skills

Advanced Excel
Interpersonal communication
Data analysis
Confidential data handling

Education

Bachelor's degree

Tools

Workday
SQL
Python

Job description

Wayfair seeks a Senior Analyst to join its Global Compensation team in Boston. This hybrid role combines 4 days in the office with 1 day of work-from-home, reporting to the Manager of Field Compensation.

You will shape compensation design for Wayfair Stores, relying on rigorous data analysis and governance to guide decisions worldwide. The ideal candidate has 2+ years in compensation, advanced Excel, and strong collaboration skills; Workday experience is a plus, with SQL/Python knowledge

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