Data Analyst – Insurance Analytics & BI

Santam Insurance; Sandton; On-site; ZAR 420,000 - 660,000; Full time

Job summary

Santam Insurance is seeking a Data Analyst for the Illovo Sandton office. You will produce reliable business information through data collation, validation and analysis to support underwriting, pricing, claims and portfolio decisions.

Key responsibilities include portfolio analytics, data management, BI reporting and modelling support. The role emphasises data quality, stakeholder engagement and governance of AI-enabled solutions.

Qualifications

• Bachelor's degree in Mathematics, Statistics, Data Science, CS or related quantitative field.
• Two years’ relevant data analysis or BI experience.
• Experience extracting, reconciling and analysing data from multiple sources.
• Experience developing reports or dashboards for business users.
• Experience in short-term/ commercial insurance data is a plus.
• Exposure to underwriting/pricing/claims data.
• Experience with policy admin systems and data warehouses.

Responsibilities

• Produce portfolio reports covering premiums, claims, loss ratios and rate movements.
• Identify trends, data anomalies and underwriting opportunities.
• Translate analytics into actionable recommendations for risk, pricing and product reviews.
• Monitor exposure and concentration risks and data quality.
• Develop reliable datasets for reporting and modelling and maintain data definitions.

Skills

Advanced Excel

SQL

Power BI

Data quality

Data interpretation

Stakeholder communication

Analytical thinking

Education

Bachelor's degree in a quantitative field

Tools

Power BI

SQL

Data warehouses

Python/R (Adv)

Job description

Santam Insurance is seeking a Data Analyst for the Illovo Sandton office. You will produce reliable business information through data collation, validation and analysis to support underwriting, pricing, claims and portfolio decisions.

Key responsibilities include portfolio analytics, data management, BI reporting and modelling support. The role emphasises data quality, stakeholder engagement and governance of AI-enabled solutions.