Alpha Mead Group
Real Estate
HRDataAnalyst–Compensation&Rewards
Neural analysis suggests this role is
optimal for mid candidates.
“HR Data Analyst – Compensation & Rewards at Alpha Mead Group. Skills: Compensation analysis, Rewards frameworks, HR data analysis. Analyze payroll data. Analyze compensation data”
Industry & Context.
Problem-solving skills
What They're Looking For.
Must Have
Minimum of 2 years’ relevant experience, Proficiency in Microsoft Excel, Experience using HRIS and payroll systems, Good understanding of compensation structures, Numerical, analytical, and problem-solving skills, Excellent attention to detail, Ability to handle confidential information professionally, Communication and reporting skills, Understanding of Nigerian labour laws
Nice to Have
Professional certification (CIPM, SHRM, HRCI), Relevant analytics certification, Knowledge of Power BI, Tableau, or other data visualization tools, Organizational and stakeholder management skills
What You'll Do.
Analyze compensation data
Analyze workforce data
Identify inconsistencies
Identify opportunities for improvement
Conduct salary benchmarking
Conduct compensation surveys
Support job evaluation exercises
Maintain job grading structures
Develop pay structures
Review pay structures
Develop compensation frameworks
Review compensation frameworks
Prepare compensation analytics reports
Prepare presentations
Monitor payroll accuracy
Support payroll reconciliation
Support audit processes
Support annual salary review
Support increment administration
Support bonus administration
Support reward administration
Maintain compensation databases
Ensure data integrity
Ensure data confidentiality
Collaborate on workforce planning
Collaborate on compensation budgeting
Ensure compliance with company policies
Ensure compliance with labour regulations
Ensure compliance with pension requirements
Ensure compliance with tax requirements
Ensure compliance with statutory requirements
Provide recommendations
How You'll Work.
Team & Collaboration
HR teams; Finance teams
Communication Scope
Reporting skills
Full Job Description
Alpha Mead Group is a Total Real Estate Solutions Company established to provide robust business support services to local and international Real Estate investors or owners with interests in Facilities Management, Real Estate Development and Advisory, Security Systems and Technologies, Training, Healthcare Management and Real Estate Financing Services. We are seeking a highly analytical and detail-oriented HR Data Analyst – Compensation & Rewards to join our Human Resources team. The ideal candidate will be responsible for analysing payroll and workforce data, supporting compensation planning, conducting salary benchmarking and job evaluation exercises, and assisting in the development and administration of salary structures and reward frameworks. This role is ideal for a data-driven HR professional who possesses strong analytical capabilities, excellent Excel proficiency, and a sound understanding of compensation and benefits administration. Key Responsibilities * Analyse payroll, compensation, and workforce data to identify trends, inconsistencies, and opportunities for improvement. * 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 and ensure data integrity and confidentiality. * Collaborate with HR and Finance teams on workforce planning and compensation budgeting. * Ensure compliance with company policies, labour regulations, pension, tax, and statutory requirements. * Provide insights and recommendations based on HR and compensation analytics.
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