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Global Compensation - Total Rewards - HR Analytics

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Onsite

Global Compensation - Total Rewards - HR Analytics

Experis

Global Compensation - Total Rewards - HR Analytics

Skills

Data Analysis

1 month ago

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Important information


Contract type:

Permanent

Salary:

₹300,000 – ₹800,000 / year

Location:

Delhi, India

Work mode:

Onsite

Published on:

21 September 2026

What they need


Position OverviewWe are seeking an experienced Global Compensation Analyst / Compensation Specialist to support the Global Compensation, Recognition and Tools team. The role will focus on compensation analytics, market benchmarking, compensation survey administration, data analysis, reporting, and project coordination across a global organization.The successful candidate will work closely with the Global Reward Centre of Expertise and support compensation initiatives across Consulting, Specialty Businesses, and Business Services.This role requires a highly analytical professional with advanced Excel skills who can interpret compensation and market data, identify trends and inconsistencies, and provide meaningful insights rather than simply reporting data.Key Responsibilities

  • Conduct market pricing and compensation benchmarking for positions across multiple countries, functions, and business units.
  • Analyze compensation survey data and external market information to determine competitive salary positioning.
  • Support annual and ad hoc compensation surveys, including data collection, survey submissions, validation, and reporting.
  • Analyze compensation data and market trends and provide actionable insights and recommendations.
  • Develop compensation reports, dashboards, Pivot Tables, and ad hoc analyses.
  • Review large compensation datasets to identify anomalies, inconsistencies, trends, and potential data-quality issues.
  • Gather, organize, validate, and analyze complex employment and compensation market data.
  • Apply knowledge of local market dynamics and compensation practices when interpreting survey and benchmarking results.
  • Support global and regional compensation projects and initiatives.
  • Collaborate with stakeholders and colleagues across multiple geographies to ensure data accuracy, consistency, and timely project delivery.
  • Maintain a high level of confidentiality when handling employee and compensation information.

Mandatory Skills

  • 3+ years of experience in Compensation, Total Rewards, HR Analytics, Workforce Analytics, or a closely related analytical role.

  • Strong hands-on experience with compensation analysis and/or market benchmarking.

  • Advanced Microsoft Excel skills, including:

  • Pivot Tables

  • VLOOKUP/XLOOKUP

  • Advanced formulas

  • Data manipulation and analysis

  • Reporting and dashboard creation

  • Strong analytical and problem-solving abilities.

  • Ability to identify data anomalies, inconsistencies, and trends and draw meaningful conclusions.

  • Excellent attention to detail and data accuracy.

  • Ability to work independently with broad direction and manage multiple priorities.

  • Strong communication and stakeholder-management skills.

Preferred Skills

  • Hands-on experience with compensation surveys and market benchmarking data.
  • Experience with compensation survey providers/platforms such as WTW, Mercer, Aon Radford, or equivalent.
  • Exposure to global compensation programs and international market benchmarking.
  • Experience working in a global or multinational organization.
  • Experience within Technology, IT Services, Consulting, or Professional Services environments.

EducationBachelor's degree in Human Resources, Business Administration, Finance, Economics, Statistics, or a related discipline.Key Success FactorsThe ideal candidate should:

  • Demonstrate strong curiosity and critical thinking when reviewing compensation data.
  • Identify inconsistencies and challenge assumptions instead of accepting data at face value.
  • Understand market nuances and translate compensation information into meaningful business insights.
  • Deliver accurate and high-quality analysis with minimal supervision.
  • Build strong working relationships with stakeholders across regions and functions.
  • Demonstrate strong ownership, organization, and attention to detail.

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