Payroll Optimization Specialist

2 weeks ago


Guntur, Andhra Pradesh, India beBeeImplementation Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Job Overview

We are seeking a seasoned expert to lead the implementation and optimization of SAP SuccessFactors Employee Central (EC) and Employee Central Payroll (ECP). The ideal candidate will possess in-depth knowledge of payroll processes, PCRs, and payroll reporting.

The selected individual will collaborate with cross-functional teams to streamline HR and payroll processes. They will also be responsible for configuring and implementing EC and ECP to meet business needs, as well as performing system configuration, testing, and deployment for new enhancements and payroll functionalities.

  • Configure and implement SAP SuccessFactors EC and ECP: Work closely with stakeholders to configure and implement EC and ECP to meet business requirements.
  • Perform system configuration and testing: Conduct thorough testing to ensure seamless deployment of new features and enhancements.

This role requires a strong understanding of payroll compliance and HRIS best practices. The successful candidate will possess excellent analytical and problem-solving skills, with a detail-oriented mindset. They will also be able to communicate effectively with business stakeholders and work independently.

Requirements
  • 5+ years of hands-on experience: Proven track record of success in implementing and optimizing EC and ECP.
  • Strong understanding of payroll processes: In-depth knowledge of payroll schemas, PCRs, and payroll reporting.
  • Experience with integrations: Successful integration of EC, ECP, and third-party systems using middleware like Boomi or CPI.
  • SAP Certification: Possession of SAP SuccessFactors EC and/or ECP Certification is highly desirable.
Preferred Skills
  • Time Management and Benefits experience: Hands-on experience with Time Management and Benefits modules in SuccessFactors.
  • Reporting tools: Familiarity with SuccessFactors reporting tools like Ad Hoc Reporting and People Analytics.


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