Hybrid Compensation Analyst (Contract) | Excel, Power BI

Beacon Hill; New Hanover Township (NJ); Hybride; USD 44 000 - 52 000; Plein temps

Résumé du poste

Beacon Hill in Hanover, New Jersey is seeking a Compensation Analyst for a contract role starting ASAP. The position offers a hybrid schedule (Whippany, NJ) with Mondays and Fridays from home, and a 32.00–37.40 USD per hour pay rate plus benefits.

You will support compensation programs, analyze data, and collaborate with HR leadership to drive salary strategy. The ideal candidate has 3+ years in compensation, strong Excel and Power BI skills, and experience with an HRIS.

Qualifications

• 3+ years of experience in compensation, compensation analysis, or equivalent experience.
• Strong analytical skills with experience working with compensation data, reporting, and workforce metrics.
• Experience working within an HRIS platform.
• Advanced Excel skills and experience utilizing reporting and analytics tools such as Power BI.

Responsabilités

• Support compensation programs, salary administration, and annual compensation planning activities.
• Perform compensation analysis, reporting, and workforce-related data reviews to support business decisions.
• Maintain and support compensation processes within the HRIS system, ensuring data accuracy and integrity.
• Assist with job evaluations, market comparisons, salary structure reviews, and compensation-related projects.
• Partner with HR and business leaders to provide insights, recommendations, and operational support related to compensation programs.

Connaissances

Compensation analysis

Advanced Excel

Power BI

HRIS

Outils

HRIS

Description du poste

Beacon Hill in Hanover, New Jersey is seeking a Compensation Analyst for a contract role starting ASAP. The position offers a hybrid schedule (Whippany, NJ) with Mondays and Fridays from home, and a 32.00–37.40 USD per hour pay rate plus benefits.

You will support compensation programs, analyze data, and collaborate with HR leadership to drive salary strategy. The ideal candidate has 3+ years in compensation, strong Excel and Power BI skills, and experience with an HRIS.