Build your compensation expertise in a role where analytics, judgment, and stakeholder partnership directly shape pay decisions. You will work on high-impact planning cycles and offer decisions across a broad set of corporate teams. You will also help improve how we deliver compensation by simplifying processes and using automation to increase consistency and speed. If you enjoy turning complex data into clear recommendations, this role offers strong development and visibility.
As a Compensation Associate in the Asia Pacific Compensation team, you support compensation planning and execution for corporate and shared services teams, using market data and internal insights to help deliver competitive, consistent pay outcomes. You manage defined analytical workstreams end-to-end, communicate findings clearly, and help improve processes through simplification and automation. You will build a strong foundation in compensation analytics, governance, and stakeholder partnership in a confidential, high-trust environment.
Job responsibilities
- Develop and refresh pay ranges for selected roles by gathering market data, assessing internal positioning, and drafting range recommendations for manager review
- Conduct benchmarking analyses (including percentile comparisons) and translate results into clear, decision-ready narratives and materials
- Analyze pay competitiveness trends to inform annual compensation planning and pay program calibration
- Deliver year-end compensation analytics across multiple business areas, from pool planning support through system upload preparation and validation
- Evaluate spend allocation and pay differentiation outcomes, surface outliers, and recommend actions aligned to talent and business priorities
- Coordinate with HR and business stakeholders to collect inputs, validate data accuracy, and escalate exceptions or missing decisions within agreed timelines
- Maintain trackers for priorities, milestones, check-ins, and resourcing needs to support execution of regional goals
- Prepare senior-ready materials and decision packs by organizing inputs, summarizing key insights, and highlighting decisions required
- Run operating cadence activities by scheduling meetings, drafting agendas, and following up on actions to closure
- Improve processes by identifying manual steps, designing scalable solutions, and prototyping automation (for example, Excel and Visual Basic for Applications)
- Support offer review and ongoing market monitoring by benchmarking proposed packages and flagging competitiveness risks ahead of formal review cycles
Required qualifications, capabilities, and skills
- 4 years of experience in compensation, rewards, HR analytics, HR operations, finance analytics, or a related role
- Demonstrated ability to analyze complex datasets accurately and translate findings into clear, structured recommendations
- Advanced proficiency in Microsoft Excel (for example, pivots, lookups, data validation, and building analysis-ready outputs)
- Strong written and verbal communication skills, including the ability to present data-driven insights to varied audiences
- Proven ability to manage multiple deadlines independently, prioritize effectively during peak cycles, and escalate risks early with a proposed path forward
- High discretion and sound judgment when handling confidential compensation information
- Strong collaboration skills and responsiveness when partnering with HR and business stakeholders
- Bachelor’s degree or equivalent practical experience
Preferred qualifications, capabilities, and skills
- Experience supporting compensation planning cycles, pay range development, offer review, or market benchmarking
- Familiarity with compensation market practices and regulatory considerations across Asia Pacific
- Experience with analytics or automation tools (for example, Alteryx, Visual Basic for Applications, or reporting platforms)
- Interest in applying artificial intelligence tools to streamline analytical workflows and improve process efficiency
- Experience creating senior-ready decision materials (for example, concise narratives, trackers, and structured packs)
- Experience in financial services