We are seeking a Reward Analyst to develop and implement global equity rewards framework and support long-term incentive strategy development. The role will involve design and implementation of equity positioning, benchmarking, and reward analytics. Strong experience in equity compensation and benchmarking is required.
Key Highlights
Technical Skills Required
Benefits & Perks
Job Description
Department: Total Rewards
Location: Kazakhstan
We are looking for a Reward Analyst (Equity-focused) to support the development and implementation of our global equity reward framework, with a focus on the next phase of equity program development. This role will work closely with Total Rewards, Finance, Legal, and external partners to contribute to equity design, modelling, and operational setup. You will play a key role in benchmarking, reward analytics, plan documentation, and vendor coordination, helping build scalable equity processes as we continue to evolve our long-term incentive strategy.
Key Responsibilities
- Support the design and implementation of equity positioning and grant guidelines
- Produce benchmarking insights and summaries for senior leadership
- Contribute to global LTI program design and scenario modelling
- Model share-based compensation (SBC) and track dilution
- Collaborate with Finance, Legal, and Tax on forecasting and country feasibility
- Work with internal teams on compensation ranges and geographic multipliers
- Consolidate market, legal, and tax data into clear analytical materials
- Prepare structured packs and recommendations for senior stakeholders
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- 8–10 years in Compensation & Benefits, Total Rewards, or Reward Consulting
- Hands-on experience with equity compensation (RSU, ESOP, LTI programs)
- Strong experience in compensation benchmarking, market analysis, and reward program design
- Advanced Excel modelling (financial modelling, scenario analysis, large datasets)
- Experience preparing analytical materials for senior leadership
- Understanding of equity structures, SBC, dilution, and global compensation frameworks
- Familiarity with market-leading reward practices and geographic pay differentiation
- Ability to work with large datasets, structure insights, and solve complex problems
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- Stable salary, official employment;
- Health insurance;
- Hybrid work mode;
- Relocation package offered for candidates from other regions;
- Access to professional counseling services including psychological, financial, and legal support;
- Discount club membership;
- Diverse internal training programs;
- Partially or fully payed additional training courses;
- All necessary work equipment.
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