Compensation Analyst: Pay Analytics & Market Insights

Bernhard MCC

Houston (TX)

On-site

USD 67,000 - 89,000

Full time

4 days ago
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Job summary

ENFRA is seeking a Compensation Analyst to support administration of compensation programs, analyze market data, and prepare leadership-ready reports. The role emphasizes data accuracy, regulatory compliance, and collaboration with HR partners.

Ideal candidates will have a Bachelor's in HR or related field, 2+ years in compensation, strong Excel and HRIS skills, and excellent communication abilities. Travel is minimal, and the team values growth and data-driven decision making.

Qualifications

  • Bachelor's degree in HR, business, or related field.
  • 2+ years in compensation or HR role.
  • Strong Excel and HRIS proficiency.
  • Solid knowledge of compensation laws.
  • Excellent communication and analytical skills.

Responsibilities

  • Maintain and update compensation data in HRIS.
  • Conduct data audits to resolve discrepancies.
  • Prepare reports on compensation trends for management.
  • Conduct salary surveys and benchmark industry pay.
  • Analyze market data to identify salary gaps.
  • Prepare presentations summarizing market insights for leadership.
  • Process salary changes including merit increases and promotions.
  • Collaborate with HR Partners to set salary ranges for new positions.
  • Ensure compliance with compensation laws and regulations.
  • Generate reports on compensation metrics like pay equity.

Skills

Excel
HRIS
Analytical
Communication
HR knowledge
MS Office

Education

Bachelors in HR/related

Tools

HRIS
Excel

Job description

ENFRA is seeking a Compensation Analyst to support administration of compensation programs, analyze market data, and prepare leadership-ready reports. The role emphasizes data accuracy, regulatory compliance, and collaboration with HR partners.

Ideal candidates will have a Bachelor's in HR or related field, 2+ years in compensation, strong Excel and HRIS skills, and excellent communication abilities. Travel is minimal, and the team values growth and data-driven decision making.

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