BI Data Analyst (Senior)

Discovery Limited; Johannesburg; On-site; ZAR 900,000 - 1,200,000; Full time

Job summary

Discovery Insure in Johannesburg seeks a Senior BI Data Analyst to analyse data, develop BI solutions, and deliver insights that guide business decisions. You will design dashboards and reports, and mentor junior team members.

The role requires strong SQL (SQL Server, T‑SQL) and experience with Azure data platforms, Power BI, data modelling, ETL/ELT, and analytics. Proficiency in Python or R and knowledge of statistics, forecasting, and machine learning are a plus.

Qualifications

• Strong SQL Server and T-SQL development experience.
• Experience with Azure data services and Power BI.
• Ability to design data models and ETL/ELT processes.
• Background in statistics or data science helpful.

Responsibilities

• Develop and optimise SQL queries and dashboards.
• Design BI solutions to support decision-making.
• Maintain data quality and governance standards.
• Mentor junior analysts and share best practices.

Skills

SQL/T-SQL

Azure data services

Power BI reporting

Data modelling

Python / R

Statistics / ML basics

Mentoring

Education

Bachelor's Degree in CS/IT/Data Science

Matric

Azure/SQL/BI certifications

Tools

Azure SQL

Azure Data Factory

Synapse Analytics

Databricks

Power BI

Job description

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BI Data Analyst (Senior)

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:

• Develop and optimise SQL queries, stored procedures, and database objects.
• Analyse large datasets to identify trends, risks, and opportunities.
• Design and maintain Power BI reports and dashboards.
• Support Azure-based data and analytics solutions.
• Apply statistical analysis and predictive modelling techniques to business problems.
• Ensure data accuracy, quality, and governance standards.
• Gather business requirements and translate them into technical solutions.
• Mentor junior team members and promote best practices

Knowledge and Skills:

• Advanced SQL Server and T-SQL development.
• Experience with Azure SQL, Azure Data Factory, Synapse Analytics, Fabric, and Databricks.
• Data modelling, ETL/ELT, and data warehousing exposure.
• Experience with Python, R, or similar analytical programming languages.
• Knowledge of statistical modelling, forecasting, machine learning, and data mining techniques.
• Strong coding, troubleshooting, and performance optimisation skill
• Insurance experience is advantageous

Education and Experience

Education:

• Matric (Essential)
• Bachelor's Degree in Computer Science, Information Systems, Data Science, Mathematics, Statistics, Engineering, or a related field.
• Relevant Microsoft Azure, SQL, Power BI, Data Science, or AI certifications are advantageous.
• 3 Years experience in any of the fields specified under essential qualification.

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.