Folkestone, GB
Associate Business Analyst - temporary contract (5-6 months; Hybrid; 100%)
Are you ready to make an impact with your enthusiasm for data and problem-solving?
Join us as an Associate Business Analyst at an exciting time, as we work to streamline and automate client data acquisition processes. Dive into the world of Life & Health Reinsurance and help us streamline operations, making data accessible and valuable for our stakeholders.
About the Role
With your business knowledge, you will assist in analysing data submissions from clients and automating acquisition of their data prior to its ingestion, making it available for L&H Re users. You will gain experience in managing large amounts of L&H Re client data in the UKI and ANZ regions. Throughout the rotation, you will enhance your understanding of L&H client data and gain insights into the different stakeholders served by DMI. Your work will have a direct impact on streamlining processes, and enabling data-availability across the business.
Key Responsibilities
• Utilize Swiss Re systems to code, test, and automate the collection and preparation of client data.
• Conduct peer reviews of code and approve it for production deployment.
• Monitor data acquisition processes and provide support for error resolution.
• Work closely with Technical Accounting teams to understand and meet business requirements.
• Partner with cross-functional teams to identify opportunities for optimizing business processes.
This is a full-time temporary position with an expected duration until the end of the year, with a current requirement of attending the office 3 days per week.
About the Team
The Data Management & Insights (DMI) team is part of Business Excellence, committed to delivering a stable end-to-end operating platform for Life & Health Reinsurance. Our mission is to make data accessible to stakeholders by systematically acquiring and ingesting client data through our systems. We leverage advanced analytics to generate insights that add value to Life & Health Re. With a focus on continuous improvement, we strive to enhance data, systems, and processes for the benefit of our stakeholders.
About You
You are enthusiastic about data and problem-solving. You have analytical prowess and communication skills with a strong understanding of data mapping and ETL processing. You thrive in environments where you can query and analyze data to drive meaningful outcomes.
Must Haves:
• Understanding and executing data mapping and ETL processes.
• Strong analytical skills to interpret data and provide actionable insights.
• Ability to communicate complex data insights clearly and effectively.
Nice to Haves:
• Experience in coding for data automation purposes.
• Experience working with cross-functional teams to achieve business objectives.
We are looking forward to your application!
We provide feedback to all candidates via email. If you have not heard back from us, please check your spam folder.
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About Swiss Re
Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. We cover both Property & Casualty and Life & Health. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world.
Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability.
If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience.
Reference Code: 133861
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Business Analyst, Data Management, Finance, Data