Compensation and Benefits Anayst

Asurion

Taguig

Sur place

PHP 360 000 - 600 000

Plein temps

Il y a 34 heures
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Résumé du poste

Asurion, a leading technology support company, seeks a Compensation & Benefits Analyst to leverage data for accurate pay and benefits insights in the Philippines. The role focuses on market studies, benchmarking, job pricing, and data-driven HR reporting to support business decisions.

The successful candidate will manage complex datasets, ensure data integrity, and collaborate with HR, Finance, and business leaders.

Qualifications

  • Bachelor's degree in HR, business, finance, statistics, economics, or related field.
  • 1–2 years in Compensation & Benefits or Total Rewards.
  • Hands-on experience in market studies, salary benchmarking, and job evaluation.
  • Strong analytical and problem-solving skills.
  • Advanced Excel and ability to handle large datasets.
  • Commitment to data accuracy and confidentiality.

Responsabilités

  • Support compensation market studies, salary benchmarking, and job pricing to ensure competitive pay practices.
  • Support annual compensation planning processes, including merit increase reviews, salary adjustments, and pay recommendations.
  • Perform detailed analysis and validation of pay planning data to ensure accuracy, consistency, and compliance with company guidelines.
  • Analyze compensation and benefits data, identify trends, and provide recommendations to support business decisions.
  • Audit and maintain compensation and employee data to ensure a high level of data integrity and accuracy.
  • Prepare reports, dashboards, and presentations related to compensation, benefits, and workforce analytics.
  • Support the administration and evaluation of employee benefits programs.
  • Partner with HR, Finance, and business leaders on compensation-related initiatives and inquiries.
  • Ensure compensation and benefits programs comply with internal policies and applicable regulations.

Connaissances

Analytical skills
Problem-solving
Advanced Excel
Data analysis
Attention to detail
Reporting

Formation

Bachelor's degree in relevant field

Outils

Excel

Description du poste

We are looking for a highly analytical Compensation & Benefits Analyst who is passionate about working with data and ensuring accuracy. This role is responsible for compensation analysis, salary benchmarking, benefits administration, and HR reporting. The ideal candidate is detail-oriented, data-driven, experienced in compensation market studies, and has a positive, collaborative attitude.

Key responsibilities
  • Support compensation market studies, salary benchmarking, and job pricing to ensure competitive pay practices.
  • Support annual compensation planning processes, including merit increase reviews, salary adjustments, and pay recommendations.
  • Perform detailed analysis and validation of pay planning data to ensure accuracy, consistency, and compliance with company guidelines.
  • Analyze compensation and benefits data, identify trends, and provide recommendations to support business decisions.
  • Audit and maintain compensation and employee data to ensure a high level of data integrity and accuracy.
  • Prepare reports, dashboards, and presentations related to compensation, benefits, and workforce analytics.
  • Support the administration and evaluation of employee benefits programs.
  • Partner with HR, Finance, and business leaders on compensation-related initiatives and inquiries.
  • Ensure compensation and benefits programs comply with internal policies and applicable regulations.
About you
  • Bachelor's degree in human resources, Business, Finance, Statistics, Economics, or related field.
  • At least 1-2 years of experience in Compensation & Benefits or Total Rewards, related discipline.
  • Hands-on experience in compensation market studies, salary benchmarking, and job evaluation is required.
  • Strong analytical and problem-solving skills.
  • Advanced Excel skills and ability to work with large datasets.
  • Exceptional attention to detail and commitment to data accuracy.
  • Strong reporting and data analysis capabilities.
  • Ability to handle confidential information with professionalism.
  • Able to communicate effectively with employees and business partners.
  • Positive attitude, team-oriented, and willing to learn.
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