Munich Re Careers in Data Analytics – Graduate 2026

Life Data Graduate Learner – Munich Re 2026
| Job Title | Life Data Graduate Learner |
|---|---|
| Date Posted / Closing Date | Posted – Closing Date: Date Not Specified |
| Location | Johannesburg, Gauteng, South Africa |
| Salary | Monthly payment not disclosed |
| Company | Munich Re |
| Employment Type | Temporary / Full-Time |
| Industry | Data, BI & Analytics |
Introduction
The Life Data Graduate Learner role at Munich Re in Johannesburg provides a hybrid, full-time position in the Data, BI & Analytics sector. This graduate programme equips participants with technical and soft skills essential for a career in life data management and reinsurance analytics.
- Structured graduate programme with hands-on data exposure
- Hybrid work mode combining office and remote activities
- 12-month fixed-term contract with potential extension
- Participation in business and team projects
- Professional development through INSETA Learnership: Short-Term Insurance Qualification
- Opportunity to gain experience in treaty data and client data management
About the Role
The Life Data Graduate Learner will support Munich Re’s Africa Branch by transforming and managing life data, ensuring accuracy, and documenting treaty requirements. Graduates gain exposure to data standards, analytics processes, and team-based deliverables.
- Take part in soft skills and technical training programmes
- Conduct daily team-specific tasks and contribute to deliverables
- Participate in business projects and team initiatives
- Introduction to Life Data Management and data analysis tasks
- Identify and document treaty data, standard information, product details, and treaty-specific conditions
- Transform client data into reusable formats for analysis
- Identify gaps between treaty requirements and client-provided data
Who Should Apply
This role is suited for recent graduates or early-career professionals with strong academic performance in statistics or related fields. Ideal candidates are passionate about data, analytical, and able to work effectively in a team environment.
- Bachelor of Science in Statistics with excellent academic record
- Strong coding or programming skills
- Ability to multitask and work under pressure
- Proficient in Excel and Microsoft Office tools
- Driven, detail-oriented, and passionate about data analytics
- Interest in learning and developing within reinsurance and life data management
- Good communication and teamwork abilities
Skills and Requirements
Applicants are expected to bring both technical and professional skills to succeed in the graduate programme. Emphasis is placed on analytics capability and business understanding.
- Bachelor of Science – Statistics major
- Excellent academic record
- Coding/programming skills applicable to data tasks
- Experience or interest in data management and analysis
- Strong problem-solving and analytical thinking
- Ability to work independently and in teams
- Proficiency in Excel and Microsoft tools
- Commitment to learning and professional development
Benefits
Munich Re provides a structured development environment with financial and professional support for graduate learners. Participants gain exposure to real-world data tasks, career development, and inclusive culture.
- INSETA Learnership: FETC – Short-Term Insurance Qualification
- Learning and Development opportunities
- 12-month fixed-term contract with possible 12-month extension
- Competitive salary with potential performance-based incentives
- Inclusive workplace culture supporting diversity and collaboration
- Work-life balance support and health & wellbeing programmes
- Career growth and exposure to life data management and analytics
Important Notes
- Contract type: Temporary / Fixed-Term (12 months)
- Employment mode: Full-Time, Hybrid
- INSETA Learnership qualification included
- Preference may be given to Employment Equity candidates
- Applications should demonstrate academic excellence and coding proficiency
Enquiries
No enquiries email or contact was provided. Applicants must apply through the official employer process.
Need Help With the Registration or Application Process?
Applications are managed directly by Munich Re. Ensure all qualifications and documentation are complete. This site provides information only; candidates must follow the official application instructions.
Closing Thoughts
The Life Data Graduate Learner programme offers recent graduates a structured pathway into data analytics within reinsurance. Candidates benefit from technical exposure, professional development, and career growth in a dynamic environment.
- Hands-on exposure to life data management and treaty analysis
- Structured training in soft and technical skills
- INSETA qualification and professional development opportunities
- Competitive remuneration and potential contract extension
- Inclusive culture and career growth prospects
Closing Date
Closing date was not specified by the employer.
How to Apply for Life Data Graduate Learner
Interested candidates must submit their applications via the official Munich Re careers portal. Ensure all requirements and qualifications are included in the submission.
- Prepare CV highlighting academic achievements and coding skills
- Include academic transcripts and relevant certificates
- Demonstrate passion for data and analytics in application
- Submit application through official employer channel
How to Apply Safely
Applications must be submitted only via the official Munich Re careers page. Candidates should never pay to apply. Verify all details directly with the employer to avoid fraud and ensure authenticity.
Frequently Asked Questions
- What is the contract type?
12-month fixed-term contract with potential extension. - Where is the role located?
Johannesburg, Gauteng, South Africa, hybrid work mode. - What qualification is required?
Bachelor of Science – Statistics major. - What are the benefits?
INSETA Learnership, learning opportunities, career exposure, health & wellbeing support, competitive remuneration. - How do I apply for Munich Re vacancies?
Through the official careers page only.




