Total Rewards Senior Analyst (6 weeks contract)

Responsibilities:

• Conduct detailed reviews of market compensation data and industry trends to assess program competitiveness and provide informed guidance to HR and business leaders.

• Develop and refine salary, incentive, and recognition frameworks that support organizational objectives while reflecting local market conditions.

• Create and maintain financial and compensation models to evaluate program costs, compare scenarios, and support implementation planning.

• Turn quantitative findings and business context into clear recommendations, including in situations where information is incomplete or changing.

• Perform pay equity assessments and help maintain compliance with applicable pay transparency and compensation-related legislation across multiple jurisdictions.

• Contribute to compensation survey participation and benchmark analysis to support broader total rewards strategy and decision-making.

• Carry out job evaluations across a range of role levels and complexities to promote internal consistency and equitable pay practices.

• Assist with the administration and ongoing enhancement of compensation structures, salary planning activities, pay policies, and incentive plans.

• Partner closely with Total Rewards and HR teams to deliver tailored compensation solutions that address business needs and workforce priorities.

• Support research and analysis related to wellness and evolving total rewards practices to inform future program improvements.

Requirements
• At least 8 years of progressive experience in total rewards, with strong depth in compensation analysis, program design, incentive structures, and compensation principles.

• Bachelor’s degree in Business Administration, Human Resources, Finance, Economics, or a related discipline is preferred.

• A compensation designation or progress toward one is considered an asset.

• Advanced capability in financial modelling, including cost analysis, scenario development, and interpretation of compensation data.

• Strong analytical and problem-solving skills, with the ability to form practical recommendations from market, financial, and business information.

• Demonstrated ability to manage ambiguity, organize competing priorities, and work effectively on complex issues with evolving inputs.

• Advanced proficiency with Excel, PowerPoint, and Microsoft Office, including experience building models and presenting data visually.

• High level of discretion and accuracy when handling sensitive compensation information, with the ability to work both independently and collaboratively