Rewards Analyst (HR)

Direct Search Global

Singapore

On-site

SGD 50,000 - 80,000

Full time

14 days+

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Job summary

Direct Search Global in Singapore is seeking a data-driven Compensation Analyst to support annual salary reviews, benchmarking and rewards analytics.

You will build Power BI dashboards, automate workflows with Power Automate, and collaborate on global mobility and benefits projects, leveraging Copilot for data insights.

Qualifications

  • Bachelor’s degree or Diploma in HR, Business, Finance or related field.
  • 2–3 years of data-driven HR experience.
  • Experience with salary and benefits benchmarking and annual compensation cycles.
  • Strong proficiency in Power BI, Power Automate, Copilot and advanced Excel.
  • Good understanding of HR data, reporting and process automation.
  • Strong analytical skills with accuracy and attention to detail.
  • Strong written and verbal communication skills.
  • Experience with SuccessFactors, HRIS or Mercer IPE would be advantageous.

Responsibilities

  • Support the annual salary review, calibration, increment and bonus cycles across multiple locations.
  • Prepare, validate and analyse employee compensation and benefits data.
  • Complete salary and benefits surveys and coordinate with external survey providers.
  • Conduct market benchmarking, compensation analysis, position mapping and job evaluation.
  • Maintain regional benefits information and support renewals and improvements.
  • Build Power BI dashboards for rewards reporting, workforce insights and management decision-making.
  • Use Power Automate to streamline approvals, tracking, notifications and other HR processes.
  • Apply Microsoft Copilot to improve data analysis, reporting, communications and administrative efficiency.
  • Support global-mobility reviews, including expatriate allowances and cost-of-living adjustments.
  • Prepare rewards procedures, employee communications and management reports.
  • Assist with job levelling, grade-structure reviews and other regional rewards projects.

Skills

Power BI
Power Automate
Microsoft Copilot
Advanced Excel
HR data reporting
Analytical skills
Communication skills

Education

Bachelor’s degree or Diploma in HR/Business/Finance

Tools

SuccessFactors
HRIS
Mercer IPE methodology

Job description

  • Support the annual salary review, performance calibration, increment and bonus cycles across multiple locations.
  • Prepare, validate and analyse employee compensation and benefits data.
  • Complete salary and benefits surveys and coordinate with external survey providers.
  • Conduct market benchmarking, compensation analysis, position mapping and job evaluation.
  • Maintain regional benefits information and support benefit renewals and improvement initiatives.
  • Build Power BI dashboards for rewards reporting, workforce insights and management decision-making.
  • Use Power Automate to streamline approvals, tracking, notifications and other manual HR processes.
  • Apply Microsoft Copilot to improve data analysis, reporting, communications and administrative efficiency.
  • Support global-mobility reviews, including expatriate allowances and cost-of-living adjustments.
  • Prepare rewards procedures, employee communications and management reports.
  • Assist with job levelling, grade-structure reviews and other regional rewards projects.
  • 2 to 3 years of experience in data driven roles, with a keen interest in moving into the HR space.
Requirements
  • Bachelor’s degree or Diploma in Human Resources, Business, Finance or a related discipline.
  • 2 to 3 years of experience in data driven roles, with a keen interest in moving into the HR space.
  • Experience with salary and benefits benchmarking, annual compensation cycles and rewards analytics.
  • Strong proficiency in Power BI, Power Automate, Microsoft Copilot and advanced Excel.
  • Good understanding of HR data, reporting and process automation.
  • Strong analytical skills with excellent accuracy and attention to detail.
  • Good written and verbal communication skills.
  • Experience with SuccessFactors, HRIS, data analytics or Mercer IPE methodology would be advantageous.
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