Reward Analyst
New Yesterday
Job Description
Reward Analyst
Salary Indicator: £50,000
Hybrid Working
Location: Manchester
Department: Reward Centre of Excellence
Reports to: Global Head of Rewards and Reward Manager
Overview
We're seeking a detail-oriented and analytical Global Reward Analyst to join our international HR team. This critical role blends expertise in both Compensation and Benefits, with a heavy emphasis on compensation strategy, benchmarking, and data analytics. The successful candidate will support the design, delivery, and governance of global reward programs that align with our business objectives and promote internal equity and market competitiveness.
Key Responsibilities
- Assist in the development and implementation of global compensation frameworks, including salary structures, pay bands, and job evaluations.
- Conduct comprehensive market benchmarking using salary surveys and external data sources to ensure competitive positioning.
- Analyse compensation trends and internal pay data to provide recommendations on adjustments, budgeting, and strategy.
- Support global annual compensation processes including merit increases, bonus planning, and long-term incentives.
- Collaborate with regional HR teams to ensure consistent application of compensation and benefits policies across locations.
- Maintain and update compensation and benefits data in HR systems with precision and confidentiality.
- Monitor global benefits offerings and work with external providers to improve cost-effectiveness and employee experience.
- Prepare reports and presentations for senior HR leaders to guide reward-related decisions.
Qualifications & Experience
- Strong analytical skills, especially with Excel, HRIS platforms, and data visualization tools.
- Familiarity with global salary surveys (e.g., Mercer, Willis Towers Watson).
- Exposure to benefits strategy is a plus, especially in diverse international markets.
- Excellent interpersonal and communication skills with an ability to explain complex data in business-friendly language.
Key Competencies
- Analytical mindset with attention to detail
- Collaborative and adaptable in a multicultural environment
- Discreet and trustworthy with sensitive information
- Proactive and self-motivated with a focus on continuous improvement
- Location:
- Manchester
- Category:
- Business
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