Title:  Business Analytics Intern

Munich Re Group is one of the world’s leading providers of reinsurance. As pioneers in risk assessment, we drive the digital transformation of the global insurance landscape, expanding products and services as new forms of risk emerge. From space rocket launches to cyber-attacks, from high-net worth individuals to pandemics, we take care of risks so our clients can take care of their businesses.
 
You will join our team as a Business Analytics Intern from August 2025 onwards, where you’ll become part of Munich Re’s Life and Health Southeast Asia Unit in Singapore. You will ideally be able to commit full-time internship or at least for 3 days a week.

In this role, you will be using Python, SQL, PowerBI, and Databricks to transform, process, and analyze client bordereaux data while streamlining the data pipeline. You will ensure data integrity through thorough quality checks and cleaning, manage data storage and retrieval for optimal accessibility, and potentially enhance our workflows with new GenAI capabilities. Your work will result in comprehensive reports and insights that drive organizational decision-making.

You will be contributing to the treaty monitoring project (KTM), focusing on streamlining the process of tracking the treaty performance.

This internship presents an exceptional opportunity to gain hands-on experience in data analysis, data visualization, and data management, pipeline automation, and GenAI innovation within the insurance industry

In this role, you will be using Python, SQL and PowerBI to transform, process, and analyse client bordereaux data. You will ensure data integrity through quality checks and cleaning, and manage data storage and retrieval for optimal accessibility. You will be contributing to the treaty monitoring project (KTM), focusing on streamlining the process of tracking the treaty performance.

Your Role

•    Automate data-driven processes, develop algorithms for data cleaning, and prepare thorough documentation for the work performed to enhance efficiency and accuracy.
•    Manage and optimize data storage and retrieval using SQL Server, ensuring efficient and secure handling of client and portfolio data for seamless integration and analysis.
•    Create and maintain dashboards using tools like Excel, SQL, Python, and PowerBI to visualize, monitor and analyse client data, providing insights to aid in decision-making for the business.
•    Leverage Databricks, Azure Data Lake Storage (ADLS), and Azure DevOps to help streamline our data pipeline and strengthen CI/CD workflows.
•    Prototype and enhance GenAI solutions using our in-house AI platform and APIs, integrating new GenAI capabilities into internal analytics tools and products.
•    Liaise with local offices, resolve issues, and document processes, ensuring accurate interpretation and implementation.
•    Support the team with ad-hoc tasks as needed, demonstrating flexibility and a proactive approach to problem-solving.

Your Profile

•    Bachelor's degree in Business Analytics, with a strong foundation in data analysis.
•    Proficient in Excel, SQL, and data analysis automation, demonstrating strong analytical and problem-solving skills.
•    Experience or knowledge in Life Insurance principles and products is advantageous.
•    Skilled in data visualization tools, particularly Power BI, for creating compelling reports.
•    Detail-oriented with a proactive approach, committed to continuous learning, and possessing a positive attitude.

At Munich Re, we embrace, and value, the interaction of diverse backgrounds, experiences, perspectives and thought. This interaction is our foundation. Of our open culture and spirit of partnership. Of how our teams are built and cultivated. Of how we are supported and developed. And at the centre of this interaction is each of us.