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  • Posted: May 20, 2026
    Deadline: Jun 15, 2026
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  • We are a Total Real Estate Solutions Company with operations in more than 10 African Countries and certified to international standards (ISO 9001:2015) by UKAS.
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    HR Data Analyst – Compensation & Rewards

    • 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.

    Qualifications

    • 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.
    • Strong 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.
    • Professional certification, such as CIPM, SHRM, HRCI, or a relevant analytics certification, is an added advantage.
    • Strong numerical, analytical, and problem-solving skills.
    • Excellent attention to detail and ability to handle confidential information professionally.
    • Strong communication and reporting skills.
    • Knowledge of Power BI, Tableau, or other data visualization tools.
    • Understanding of Nigerian labour laws, PAYE taxation, pensions, and statutory deductions.
    • Strong organisational and stakeholder management skills

    Check how your CV aligns with this job

    Method of Application

    Interested and qualified? Go to Alpha Mead Group on jobs.smartrecruiters.com to apply

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