HR Data Analyst – Compensation & Rewards

About the role

Alpha Mead Group is looking for an HR Data Analyst specialized in Compensation & Rewards to join its Lagos office. The analyst will turn payroll and compensation data into actionable insights, support salary benchmarking, and help shape the company’s reward strategies.

Key responsibilities

• Analyse payroll, compensation and workforce data to spot trends, inconsistencies and improvement opportunities.
• Conduct salary benchmarking and compensation surveys across relevant industries and labour markets.
• Support job evaluation exercises and maintain job grading structures.
• Assist in developing and reviewing salary bands, pay structures and compensation frameworks.
• Prepare compensation analytics reports, dashboards and presentations for management decision‑making.
• Monitor payroll accuracy and support payroll reconciliation and audit processes.
• Support annual salary review, increment, bonus and reward administration processes.
• Maintain compensation databases ensuring data integrity and confidentiality.
• Collaborate with HR and Finance teams on workforce planning and compensation budgeting.
• Ensure compliance with company policies, Nigerian labour regulations, pension, tax and statutory requirements.
• Provide insights and recommendations based on HR and compensation analytics.

Required profile

• Bachelor’s degree in Human Resources, Accounting, Economics, Statistics, Mathematics, Business Administration or a related discipline.
• Minimum of 2 years’ experience in compensation & benefits, payroll analytics, HR analytics or related data‑focused HR roles.
• Professional certification such as CIPM, SHRM, HRCI or a relevant analytics certification is an advantage.
• Strong numerical, analytical and problem‑solving abilities with high attention to detail.
• Good understanding of Nigerian labour laws, PAYE taxation, pensions and statutory deductions.
• Excellent communication and reporting skills.

Required skills

• Advanced Microsoft Excel (Pivot Tables, XLOOKUP/VLOOKUP, formulas, dashboards).
• Experience with HRIS and payroll systems.
• Proficiency in data‑visualisation tools such as Power BI or Tableau.