Alpha Mead Group
Real Estate Solutions
HRDataAnalyst–Compensation&Rewards
Neural analysis suggests this role is
optimal for mid candidates.
“HR Data Analyst – Compensation & Rewards at Alpha Mead Group. Skills: HR Data Analysis, Compensation & Rewards, Excel Proficiency, Data Analytics. 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”
Industry & Context.
numerical, analytical, and problem-solving skills
What They're Looking For.
Must Have
Bachelor’s Degree in Human Resources, Accounting, Economics, Statistics, Mathematics, Business Administration, or related discipline, Minimum of 2 years’ relevant experience in compensation & benefits, payroll analytics, HR analytics, or related HR data-focused roles, proficiency in Microsoft Excel, including Pivot Tables, XLOOKUP/VLOOKUP, formulas, dashboards, and data analysis tools, Experience using HRIS and payroll systems, Good understanding of salary benchmarking, job evaluation, compensation structures, and payroll administration, numerical, analytical, and problem-solving skills, Excellent attention to detail and ability to handle confidential information professionally, communication and reporting skills, Understanding of Nigerian labour laws, PAYE taxation, pensions, and statutory deductions, organisational and stakeholder management skills
Nice to Have
Professional certification, such as CIPM, SHRM, HRCI, or a relevant analytics certification, is an added advantage, Knowledge of Power BI, Tableau, or other data visualization tools
What You'll Do.
and workforce data to identify trends
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
and compensation frameworks
Prepare compensation analytics reports
and presentations for management decision-making
Monitor payroll accuracy and support payroll reconciliation and audit processes
Support annual salary review
and reward administration processes
Maintain compensation databases and ensure data integrity and confidentiality
Ensure compliance with company policies
and statutory requirements
Provide insights and recommendations based on HR and compensation analytics
How You'll Work.
Team & Collaboration
Collaborate with HR and Finance teams on workforce planning and compensation budgeting
Communication Scope
communication and 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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