Senior Total Rewards Operations Analyst: Automation & Analytics

SYSGEN RPO; Philippines; On-site; PHP 1,000,000 - 1,800,000; Full time

Job summary

SYSGEN RPO is seeking a Total Rewards Operations Senior Analyst in the Philippines to manage leave of absence programs, Total Rewards operations, and process improvements. You will partner with HR, Payroll, Finance, HRIS, and external vendors to ensure accurate, scalable benefits, leave, and compliance programs.

The ideal candidate combines strong analytical skills with process automation and data-driven decision making, supporting the continuous improvement of leave administration and related

Qualifications

• Bachelor's degree in HR, Business, Finance, Analytics, or related field.
• 3-5 years of experience in Total Rewards, HR Operations, HRIS, Benefits, Compensation, or HR Analytics.
• Experience managing cross-functional projects.
• Experience with HRIS platforms (Workday preferred).
• Strong analytical and problem-solving skills.
• Excellent organizational and documentation skills.
• Experience creating SOPs and process documentation.

Responsibilities

• Administer leave of absence programs and be the primary contact for employees and managers through the leave process.
• Coordinate with third-party leave administrators for proper case management and disability benefits.
• Monitor case status to ensure leaves align with policy and laws.
• Coordinate return-to-work activities and fitness-for-duty certifications.
• Partner with Core HR, Payroll, and managers to resolve complex leave and accommodation matters.
• Maintain accurate leave records in HRIS and leave management systems.
• Coordinate payroll, benefit deductions, and disability payments during leaves.
• Ensure compliance with federal, state, and local leave regulations (FMLA, ADA, PWFA, USERRA, etc.).
• Develop and maintain SOPs, process docs, and resources for leave administration.
• Identify opportunities to automate leave processes through tech and AI.
• Manage day-to-day operational administration of Total Rewards programs.
• Ensure accurate execution of benefit eligibility and life-event processing.
• Maintain operational calendars and project plans for Total Rewards.
• Coordinate activities across Benefits, Compensation, Payroll, Finance, HRIS, and vendors.
• Develop and maintain SOPs for Total Rewards processes.
• Identify operational risks and implement improvements.
• Evaluate workflows and identify automation opportunities.
• Design, document, and implement streamlined processes.
• Partner with HRIS and tech teams on system enhancements.
• Leverage AI and workflow automation to reduce manual work.
• Create process maps and operational docs.
• Support projects including eligibility reviews, annual compensation, retirement plan transitions, compliance, M&A.
• Build project plans, manage timelines, coordinate stakeholders, report status.
• Update dashboards and KPIs; analyze utilization and costs.
• Prepare leadership reports; validate data across HRIS, payroll, vendor systems.
• Perform audits to identify discrepancies.
• System updates testing; configuration validation; file transmission monitoring.
• User acceptance testing; troubleshoot issues; maintain documentation.
• Support ACA, ERISA, COBRA, HIPAA, IRS reporting, DOL requirements.
• Monitor service levels and contractual obligations; track performance.

Skills

Analytical thinking

Attention to detail

Project management

Cross-functional collaboration

Documentation

Communication

SQL/Reporting

HR analytics

Process improvement

Education

Bachelor's degree in HR, Business, Finance, Analytics, or related field

Tools

Workday

Power BI

Tableau

Excel

Job description

SYSGEN RPO is seeking a Total Rewards Operations Senior Analyst in the Philippines to manage leave of absence programs, Total Rewards operations, and process improvements. You will partner with HR, Payroll, Finance, HRIS, and external vendors to ensure accurate, scalable benefits, leave, and compliance programs.

The ideal candidate combines strong analytical skills with process automation and data-driven decision making, supporting the continuous improvement of leave administration and related