Compensation & Benefits Analyst

DIRECT SEARCH ASIA PTE. LTD.; Singapore; On-site; SGD 54,000 - 90,000; Full time

Job summary

DIRECT SEARCH ASIA PTE. LTD. is seeking a data-driven Rewards & HR Analytics professional in Singapore to support salary reviews, benchmarking and benefits analysis. You will build dashboards, automate HR processes and coordinate external surveys to deliver insights for management decisions.

Ideal candidates have 2–3 years in data roles with a strong grasp of HR metrics, Power BI, Excel and HRIS tools, plus exposure to SuccessFactors or Mercer IPE is a plus.

Qualifications

• 2 to 3 years of experience in data driven roles with 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.
• Experience with SuccessFactors, HRIS, data analytics or Mercer IPE methodology would be advantageous.

Responsibilities

• 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.

Skills

Data analytics

Analytical skills

Communication skills

Attention to detail

HR data understanding

Problem solving

Education

Bachelor's degree or Diploma in HR, Business, Finance or related

Tools

Power BI

Power Automate

Microsoft Copilot

Excel

HRIS/SuccessFactors

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.