Maintain and analyze compensation data (base pay, incentives, bonuses).
Assist in annual compensation cycles (merit, bonus) including data validation, audits and issue resolution.
Conduct pay equity analyses and recommend corrective actions.
Provide scenario modeling for hiring plans, cost impact, and workforce mix optimization.
Prepare and maintain compensation data for offers, promotions, and internal movements.
Track and analyze compensation KPIs such as compa-ratio, range penetration, promotion increases, conduct pay equity analyses (role, gender, level, tenure) and offer variances.
Manage budget and work with finance teams to appropriately forecast cost on total rewards, training etc. Highlight insights on budget to meet adherence to profit plan
Managing EAP approval process
C&B session for new joiners
experience
6
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Associate Analyst - People data and Rewards
Compensation Data & Support
Maintain and analyze compensation data (base pay, incentives, bonuses).
Assist in annual compensation cycles (merit, bonus) including data validation, audits and issue resolution.
Conduct pay equity analyses and recommend corrective actions.
Provide scenario modeling for hiring plans, cost impact, and workforce mix optimization.
Prepare and maintain compensation data for offers, promotions, and internal movements.
Track and analyze compensation KPIs such as compa-ratio, range penetration, promotion increases, conduct pay equity analyses (role, gender, level, tenure) and offer variances.
Manage budget and work with finance teams to appropriately forecast cost on total rewards, training etc. Highlight insights on budget to meet adherence to profit plan
Managing EAP approval process
C&B session for new joiners
experience
6
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● Build, maintain, and improve dashboards and reports using BI Tools. ● Create recurring operational, claims, finance, sales, and policy reporting. ● Analyze business data and provide insights to support operational and strategic decision-making. ● Leverage AI tools to improve reporting efficiency, documentation quality, data analysis, and business insights. ● Continuously identify opportunities to automate repetitive reporting and analytical tasks using
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