Analytics Engineer - Graduate (Hybrid; m/f/x/d)

We are looking for graduates with strong interpersonal skills and can do mindset, who are eager to learn, broaden their knowledge and expertise and want to make a difference. You have a Bachelor, Master, or PhD degree with up to 3 years professional experience – we invite you to apply to our Graduate Programme 2025.

 

The programme offers you the chance to join the dynamic, fast-moving world of a leading risk knowledge organisation. Over an 18-month period, you will receive on- and off-the-job training, including a job rotation that gives you the opportunity to work across different lines of business and departments.

 

About the Role

 

Within the Corporate Solutions Data Insights Organization, we are searching for an analytics engineer to partner with the business in elevating our insights to an industry-leading level. Specifically, the role will be responsible for:
•    Building data assets to facilitate visualization for reporting purposes and deriving insights
•    Reduce manual processes when it comes to delivering insights
•    Deep dives into portfolios on an ad-hoc basis using state of the art analytical and machine learning frameworks
•    Support our goal to upskill business users data analysis capabilities through mentoring and coaching 
Based on experience and interest, this role has significant evolution potential to drive the future of analytics capabilities and achieve our ambition to be data driven.

 

About the Team

 

We are an international team of reporting and analytics engineers, who are very passionate about data. We have a strong focus on central data products, to provide metrics, reports or other analytics solutions that allow different functions to steer their business based on data-derived insights.
To achieve these goals, we seek to use innovative data sources and analytical models to improve traditional reporting capabilities by advanced visualizations and predictive insights.

About You

 

•    University degree in a relevant quantitative field, e.g. Computer Science, Mathematics, Engineering, Statistics or other / equivalent work experience
•    Passionate about using data and technology to steer the business insights and maximize efficiency of processes
•    Strong work ethic and self-starter who can deliver results quickly
•    Good communication skills and the ability to translate technical concepts
•    Good knowledge of Spark SQL and PySpark
•    Experience visualizing business insights using state-of-the-art data analysis techniques, e.g. using PowerBI prefered

 

Please note that the application process will be open until end of January 2025. The active selection and interview process will start afterwards, and you may not hear from us in the meantime. This does not mean you application is ignored. Please keep this in mind in case you do not hear from us within upcoming weeks. We will keep you informed of any updates or changes to the schedule. Thank you for your understanding.

 

About Swiss Re Corporate Solutions 

 

Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer. We anticipate and manage risks, from natural catastrophes and climate change to cybercrime.

Swiss Re Corporate Solutions is the commercial insurance arm of the Swiss Re Group. We offer innovative insurance solutions to large and midsized multinational corporations from our approximately 50 locations worldwide. We help clients mitigate their risk exposure, whilst our industry-leading claims service provides them with additional peace of mind.

Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. Swiss Re Corporate Solutions embraces 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.

 

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