• Application Deadline:
• Position: Rewards & Analytics Advisor


• Job Type Full Time


• Qualification BA/BSc/HND


• Experience 2 years


• Location Lagos


• Job Field Data, Business Analysis and AI 
  

About the Job

The ideal candidate will be responsible for

• Processing the timely payment of salaries, bonuses, final entitlements and other benefits to employees


• Assisting with compensation survey analysis which will guide the business with decisions on pay structure


• Processing statutory remittances for employees in line with regulatory requirements


• Maintaining the pay structure across all grade levels to ensure internal equity


• Ensuring the timely distribution payslips to employees on a monthly basis


• Preparing the monthly and quarterly HR reports which provides insight into human resources trends & supports in developing programs and polices


• Ensuring the accuracy and integrity of staff compensation details on the HRIS and updating staff pay details as required


• Supporting the annual pay reviews and business process


• Supporting employees in awareness and understanding of their pay package including flexible benefits


• Supporting the rewards team in key activities required to provide market competitive rewards data and data analysis to support pay proposals and recommendations


• Providing support within key compensation activities including policy and process changes


• Supporting in the design and implementation of the quarterly and annual recognition programmes


• Engage in rewards project from time to time


• Reconciling outsourced employee bills and following up with finance team for prompt processing of the invoices


• Following up and ensuring that exit benefits are promptly paid to exited staff

Requirements

• Candidates should possess a B.Sc Degree / HND with 2 years experience in a similar role in FMCG

Knowledge & Skills:

• Data Analytics


• Proficient in the use Microsoft Excel & Powerpoint


• Good knowledge of Nigerian labour laws and industrial policies


• Numerical skills


• Analytical skills


• Presentation skills


• Problem solving skills


• Result oriented


• Relationship management.