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Discovery Limited's Insure division seeks a Senior BI Data Analyst to translate data into actionable insights. You will develop BI solutions, optimise SQL, and design dashboards to support decision-making.
You'll work with Azure data services (Azure SQL, Data Factory, Synapse) and apply statistical techniques, forecasting, and machine learning where applicable. Collaboration with the team and mentoring juniors are part of the role.
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Business Unit: Discovery Insure
Date: 2 Oct 2026
Discovery – Insure
Senior BI Data Analyst
About Discovery
Discovery’s core purpose is to make people healthier and to enhance and protect their lives. We seek out and invest in exceptional individuals who understand and support our core purpose, and whose own values align with those of Discovery. Our fast-paced and dynamic environment enables smart, self-driven people to be their best. As global thought leaders, Discovery is passionate about innovating in order to not only achieve financial success, but to ignite positive and meaningful change within our society.
About Discovery Insure
Discovery Insure is committed to creating a nation of great drivers through our innovative Shared-value Insurance model. Discovery Insure is South Africa’s fastest growing short-term insurance company with comprehensive products that provide protection against current and emerging risks facing clients in the motor and home insurance sectors. Vitality Drive, an internationally-recognised and award-winning programme, is a key differentiator in the market that incentivises and rewards clients for driving well. The Vitality Drive programme has been scaled to local and international markets which now include Europe and the Middle East. The company employs over 1 000 people who are committed to putting our customers and financial advisers first by providing unique and innovative solutions and cover.
Key Purpose
The Senior BI Data Analyst is responsible for analysing data, developing BI solutions, and delivering insights that support business decision-making. The role requires strong SQL and coding skills, experience with SQL Server and Azure data platforms, and the ability to transform complex data into actionable information. The role is also expected to apply statistical and data science techniques to uncover trends, predict outcomes, and drive data-driven decision-making.
Areas of responsibility may include but are not limited to:
Knowledge and Skills:
Education and Experience
Education:
EMPLOYMENT EQUITY The Company’s approved Employment Equity Plan and Targets will be considered as part of the recruitment process. As an Equal Opportunities employer, we actively encourage and welcome people with various disabilities to apply.