Remuneration & Data Specialist

Are you a data-driven HR or finance professional with a passion for analytics and reward structures?

This exciting opportunity blends 20% remuneration focus with 80% data analytics, making it ideal for someone who thrives in a role where precision, insights, and strategic input are key. Youll play a pivotal role in ensuring competitive compensation frameworks and supporting the business through meaningful data-driven decisions.

This is an opportunity to make a real impact in a company that champions data-driven HR and values innovation and people equally. If you're ready to turn insights into action, we'd love to hear from you.

This is a rare opportunity to join a company that combines over two decades of innovation in the South African insurance industry with a genuine commitment to its people. Recognised as a Top Employer since 2022, the organisation offers a fun, inclusive culture, strong focus on growth and development, and a forward-thinking approach to technology and wellness. Here, your work has real impact - in a place where people come first, innovation thrives, and careers are built from within

Duties

• Remuneration Focus (20%)
• Prepare salary data for external benchmarking and analysis
• Assist with reward programme administration (e.g. annual increases, STI/LTI calculations)
• Compile data for annual BBBEE audits and COIDA submissions
• Ensure compliance with relevant reward legislation and support year-end audit requirements
• Support communication efforts around reward programmes
• Data Analytics Focus (80%)
• Gather, clean, and analyse large datasets from multiple sources
• Build and maintain Power BI dashboards and Excel-based reports
• Identify trends, insights, and opportunities that influence decision-making
• Validate findings using statistical methods
• Contribute to automation and optimisation of payroll data processes
• Support year-end reporting and ad hoc data needs
• Ensure data privacy and compliance with POPIA across all work

Job Experience & Skills Required

Qualifications

• Matric (Grade 12)
• Bachelors degree in HR, Business, Data Analytics, Finance, or similar

Experience

• 3+ years of experience in data analysis, reporting, or remuneration
• Strong skills in Excel (including pivot tables & complex formulas), Power BI, SQL or Tableau
• Knowledge of HR systems, payroll structures, and remuneration frameworks is a plus
• GRP certification (advantageous)

Skills & Compete

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