Job opportunity
Compensation Benchmarking Analyst
Metro Supply Chain Group
Use compensation benchmarking and job architecture expertise to support total rewards programs, salary structures, and informed workforce decisions.
The Total Rewards Specialist performs market pricing, evaluates jobs, and maintains compensation frameworks. This role develops financial models and reporting for compensation decisions. It also monitors labour markets, rewards practices, and regulatory changes.
Key Responsibilities:
Maintain job architecture frameworks and job classifications
Benchmark compensation using salary surveys and internal data
Monitor labour market trends and regulatory changes
Develop financial impact assessments and what-if scenarios
Provide regular and ad hoc total rewards reporting
Requirements:
University degree or Human Resources Post Diploma
Three to five years of equivalent experience
Preferred CCP or CEBS designation
Knowledge or experience in ETL and data analytics
Understanding of compensation-impacting legislation
Bring market pricing, job evaluation, and financial modelling skills to evidence-based total rewards planning and reporting.
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Apply on source site The Total Rewards Specialist performs market pricing, evaluates jobs, and maintains compensation frameworks. This role develops financial models and reporting for compensation decisions. It also monitors labour markets, rewards practices, and regulatory changes.
Key Responsibilities:
Maintain job architecture frameworks and job classifications
Benchmark compensation using salary surveys and internal data
Monitor labour market trends and regulatory changes
Develop financial impact assessments and what-if scenarios
Provide regular and ad hoc total rewards reporting
Requirements:
University degree or Human Resources Post Diploma
Three to five years of equivalent experience
Preferred CCP or CEBS designation
Knowledge or experience in ETL and data analytics
Understanding of compensation-impacting legislation
Bring market pricing, job evaluation, and financial modelling skills to evidence-based total rewards planning and reporting.
#J-18808-Ljbffr