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- Tasks: Assist in analysing and automating client data for Life & Health Reinsurance.
- Company: Swiss Re is a global leader in reinsurance, making the world more resilient.
- Benefits: Enjoy a hybrid work model with opportunities for professional growth and development.
- Why this job: Make a real impact by streamlining data processes and enhancing accessibility for stakeholders.
- Qualifications: Strong analytical skills, understanding of data mapping, and effective communication are essential.
- Other info: This is a temporary contract for 5-6 months, requiring office attendance 3 days a week.
The predicted salary is between 28800 - 43200 £ per year.
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.
Contact Detail:
Swiss Re - Schweizerische Rückversicherungs-Gesellschaft Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Associate Business Analyst - temporary contract (5-6 months; Hybrid; 100%)
✨Tip Number 1
Familiarise yourself with the specific data systems and tools used in Life & Health Reinsurance. Understanding Swiss Re's systems will give you a significant edge during interviews, as you'll be able to discuss how your skills align with their processes.
✨Tip Number 2
Network with current or former employees of Swiss Re, especially those in the Data Management & Insights team. They can provide valuable insights into the company culture and expectations, which can help you tailor your approach when applying.
✨Tip Number 3
Brush up on your coding skills, particularly in languages relevant to data automation. Being able to demonstrate your coding capabilities during discussions can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss real-world examples of how you've used data analysis to drive business outcomes. This will showcase your analytical prowess and problem-solving skills, which are crucial for the Associate Business Analyst role.
We think you need these skills to ace Associate Business Analyst - temporary contract (5-6 months; Hybrid; 100%)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Associate Business Analyst role. Emphasise your analytical skills, understanding of data mapping, and any experience with ETL processes.
Craft a Compelling Cover Letter: Write a cover letter that showcases your enthusiasm for data and problem-solving. Mention specific examples of how you've used your analytical skills to drive outcomes in previous roles, and express your interest in the Life & Health Reinsurance sector.
Highlight Technical Skills: If you have experience in coding for data automation or working with cross-functional teams, make sure to include this in your application. Detail any relevant tools or programming languages you are proficient in.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for an analytical role.
How to prepare for a job interview at Swiss Re - Schweizerische Rückversicherungs-Gesellschaft
✨Show Your Enthusiasm for Data
Make sure to express your passion for data and problem-solving during the interview. Share specific examples of how you've used data to drive decisions or improve processes in previous roles.
✨Understand ETL Processes
Since the role requires knowledge of data mapping and ETL processes, be prepared to discuss your experience with these concepts. You might even want to explain a project where you successfully implemented ETL techniques.
✨Communicate Clearly
Practice explaining complex data insights in a simple and clear manner. The ability to communicate effectively is crucial, so consider preparing a few examples where you had to present data findings to non-technical stakeholders.
✨Familiarise Yourself with Swiss Re
Research Swiss Re and their operations in Life & Health Reinsurance. Understanding their mission and values will help you align your answers with what they are looking for in a candidate, showing that you are genuinely interested in the company.
