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Publié il y a 3 mois

Senior Analyst Compensation

Toronto, Ontario

Sur place6+ ans d’expérience
Postuler
SIGNAUX

Résumé des exigences :

  • The ideal candidate should possess strong experience in designing and rolling out global/multi-regional compensation programs, including job architecture, and rewards strategy.
  • They will bring hands-on expertise in job evaluation, compensation benchmarking, incentive plan administration, and pay equity initiatives, with the ability to translate complex data into…
  • - Monitor compensation trends, salary movement data, regulatory developments, and pay transparency requirements to ensure compensation programs remain compliant and competitive.
  • - Bachelor’s degree in Human Resources, Business Administration, Finance, Economics, or a related discipline.
  • - 3–6 years of progressive experience in compensation, total rewards, or HR consulting, preferably supporting global or multi-country organizations.
  • - Strong knowledge and hands-on experience with Mercer’s IPE job evaluation methodology, job architecture frameworks, and compensation survey tools; experience with incentive compensation…

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Source et dates

Site carrière / système de candidatures · careerpage

Date publiée par l’employeur
2026-08-05
Première détection par notre source
2026-10-11
Mise à jour du dossier source
2026-11-03

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Description
Position: Senior Analyst – Compensation (Global)
Location: Toronto East (On-site)
Salary: $90K to $105K
Job Type: Permanent
Posting Type: Open vacancy

We are looking to hire a strategic and analytical Senior Analyst – Compensation (Global) for great manufacturing client located in the east end of Toronto. The ideal candidate should possess strong experience in designing and rolling out global/multi-regional compensation programs, including job architecture, and rewards strategy. They will bring hands-on expertise in job evaluation, compensation benchmarking, incentive plan administration, and pay equity initiatives, with the ability to translate complex data into practical recommendations.

Key Responsibilities:

- Lead the administration and ongoing enhancement of the organization’s global compensation programs, ensuring alignment with market competitiveness, internal equity, pay transparency, and business objectives.
- Manage global job architecture and job evaluation processes using Mercer’s IPE methodology, ensuring consistent role classification, grading, career level alignment, salary structures, and compensation frameworks across all regions.
- Administer and support the design of incentive compensation programs for sales, management, and leadership populations, including compensation modelling, payout calculations, forecasting, governance, and program documentation.
- Partner with HR Business Partners and business leaders to assess new, evolving, and existing roles, provide job evaluation and grading recommendations, and ensure consistent compensation practices globally.
- Lead the operational execution of annual compensation review cycles, including merit increases, salary adjustments, data preparation, system administration, calibration activities, communications, and implementation support.
- Conduct market pricing, compensation benchmarking, and competitive pay analyses using survey data and external market intelligence to support fair and informed compensation decisions across multiple countries.
- Monitor compensation trends, salary movement data, regulatory developments, and pay transparency requirements to ensure compensation programs remain compliant and competitive.
- Support annual workforce planning and compensation budgeting activities through financial modelling, forecasting, and scenario analysis in partnership with Finance.
- Perform pay equity reviews and contribute to initiatives that promote equitable, transparent, and consistent compensation practices across the organization.
- Maintain the accuracy and integrity of compensation data within BambooHR and related systems, ensuring employee compensation records, job structures, grades, and salary bands are up to date.
- Collaborate with HRIS, Payroll, Finance, and other stakeholders to support compensation-related reporting, system integrations, data governance, and future compensation technology initiatives.

Requirements:

- Bachelor’s degree in Human Resources, Business Administration, Finance, Economics, or a related discipline.
- 3–6 years of progressive experience in compensation, total rewards, or HR consulting, preferably supporting global or multi-country organizations.
- Strong knowledge and hands-on experience with Mercer’s IPE job evaluation methodology, job architecture frameworks, and compensation survey tools; experience with incentive compensation programs is an asset.
- Advanced proficiency in Microsoft Excel, including complex formulas, pivot tables, Power Query, compensation modelling, and data analysis.
- Experience working with HRIS platforms, with BambooHR experience considered an advantage.
- Strong analytical and problem-solving abilities with the capability to interpret complex datasets and provide meaningful compensation insights and recommendations.
- Solid understanding of compensation program design, market benchmarking, pay equity principles, compensation-related legislation, and evolving global pay transparency requirements.
- Exceptional attention to detail and a high degree of confidentiality when handling sensitive compensation and employee information.
- Strong communication and stakeholder management skills, with the ability to clearly explain compensation concepts and recommendations to leaders and employees.
- Proven ability to manage multiple priorities, work effectively in a fast-paced environment, and build collaborative relationships across HR, Finance, Payroll, and business leadership teams.

To apply, please send your resume to Vanessa Tran at [email protected].

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All applications are reviewed by our recruitment team, and hiring decisions are made by people. We may also use AI-enabled tools to support parts of the application review process.

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