Data Analyst

Recruiter:

Edge Executives

Job Ref:

645012178

Date posted:

Wednesday, January 14, 2026

Location:

Johannesburg, South Africa

SUMMARY:
-

POSITION INFO:

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.

What You’ll Do

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

What You Bring

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

What Success Looks Like

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

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