Remote Senior Compensation Analyst: Pay Insights

Hugh Chatham Health, Inc.

United States

Remote

USD 61,000 - 91,000

Full time

10 hours ago
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Job summary

Advocate Health is seeking a Senior Compensation Analyst to join our Compensation team. This remote role supports a multi-state healthcare organization, applying advanced analytics to pay equity, market competitiveness, and salary structures.

You will design, administer, and improve compensation programs, leveraging Workday, Snowflake, and Power BI to deliver insights that guide leadership decisions. Strong data skills and cross-functional collaboration are essential.

Qualifications

  • Bachelor's degree in a related field and at least five years of compensation experience.
  • Experience administering compensation programs, salary structures, and market pricing.
  • Proven ability to influence decisions with data-driven recommendations.

Responsibilities

  • Support compensation programs and annual cycle activities including merit planning.
  • Serve as owner for compensation initiatives and system enhancements.
  • Conduct analyses and develop recommendations for individuals and groups.
  • Apply data techniques to assess pay equity and market trends.
  • Utilize Workday, Snowflake, Power BI, SQL to analyze data and report findings.
  • Collaborate with HR, Payroll, and other teams on data governance and dashboards.
  • Assist leadership with analyses, executive materials, and project deliverables.

Skills

Data analysis
Communication
Cross-functional teamwork
Attention to detail

Education

Bachelor's degree

Tools

Workday
Snowflake
Power BI
SQL

Job description

Advocate Health is seeking a Senior Compensation Analyst to join our Compensation team. This remote role supports a multi-state healthcare organization, applying advanced analytics to pay equity, market competitiveness, and salary structures.

You will design, administer, and improve compensation programs, leveraging Workday, Snowflake, and Power BI to deliver insights that guide leadership decisions. Strong data skills and cross-functional collaboration are essential.

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