Reward Expert
Enregistrez cette offre et organisez votre recherche
Créez un compte gratuit pour enregistrer des offres d'emploi, créer des alertes et revenir à cette liste depuis votre tableau de bord.
Division: People & Organization (P&O)
Team: Reward
Job Purpose / Summary
The Compensation & Benefits Analyst is an experienced specialist responsible for researching, analyzing, and supporting the design, implementation, and continuous improvement of compensation and benefits programs in an international environment. The role delivers data-driven insights and contributes to modern, competitive, and compliant Total Rewards practices.
Key Responsibilities
Scope & Level Expectations
Operates autonomously within a defined area of expertise with strong analytical judgment. Fully proficient in a compensation & benefits sub-domain within an international context. Influences outcomes through expertise, insights, and stakeholder collaboration. Actively contributes to innovation and continuous improvement in reward practices.Required Qualifications & Experience
Bachelor’s or Master’s degree in HR, Business, Finance, Economics or related field. Typically, 5–8+ years of experience in Compensation & Benefits, Reward, or a similar HR field. Demonstrated experience with salary reviews, benchmarking, job evaluation, and reward analysis. Good understanding of compensation methodologies, governance, and market practices. Experience in an international or matrixed organization is preferred.Skills & Competencies
Strong analytical and problem-solving skills with ability to interpret complex datasets. Ability to translate data into actionable insights and business recommendations. Continuous improvement mindset with proactive approach to optimizing processes. Digital and innovation mindset with appetite to leverage technology and AI in HR practices. Strong communication and stakeholder management skills. High level of confidentiality and professionalism. Advanced Excel and PowerPoint skills.Stakeholder Interaction / Collaboration
Partner with HR, business leaders, and cross-functional teams. Collaborate with IT and data teams on system improvements and AI initiatives. Support interactions with external vendors and market data providers. Contribute to governance, reporting, and decision-making processes.Success Measures
High-quality, accurate, and actionable reward analysis. Effective execution of reward cycles and processes. Tangible improvements in efficiency through process optimization and digital initiatives. Adoption of innovative or AI-enabled approaches within Total Rewards. Strong stakeholder trust and collaboration.#LI-IV1