Data Analyst

Data Analyst | Sandton | Permanent

Make data matter in a fast-moving insurance environment. This is an opportunity to work at the centre of decision-making, turning complex datasets into clear, actionable insight.

This role sits across multiple business units and plays a key part in improving data quality, reporting efficiency, and commercial understanding. You will work with diverse insurance data sets, build automated reporting solutions, and support teams with insights that directly influence performance and risk management.

Our client is a growing South African short-term insurer operating across specialist and traditional insurance lines. Known for technical depth and a strong risk framework, the business values agility, service excellence, and a high-performance culture.

• Analyse and interpret data relating to premiums, claims, policies, finance, and operations

• Develop and maintain dashboards and recurring reports for key insurance metrics

• Extract, clean, and integrate data from multiple internal and external sources

• Investigate anomalies and ensure accuracy and consistency of reporting

• Build automated data pipelines to improve efficiency and reliability

• Provide insights to underwriting, actuarial, claims, finance, and operations teams

• Degree in Data Science, Statistics, Mathematics, Actuarial Science, Computer Science, or similar

• 1–2 years’ experience in a data-focused role, ideally within insurance or financial services

• Strong SQL skills, with Python or R as an advantage

• Experience using BI tools such as Power BI, Tableau, Qlik, or Looker

• Advanced Excel capability, including dashboards and complex formulas

• Ability to explain technical findings to non-technical stakeholders

• Accurate, trusted dashboards and reports used by the business

• Clear insights that support underwriting, pricing, and operational decisions

• Improved efficiency through automation and standardised reporting

• Strong stakeholder relationships and positive feedback

• Consistent compliance with data governance and regulatory requirements