Bratislava, SK

Analytical 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 graduates@swissre programme 2024.


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

  • Knowledge of insurance concepts preferred

  • Knowledge of Spark SQL and PySpark will be a plus


The minimum gross monthly base salary for this role is 1500 EUR. Our final offer to you will be set up fairly, considering obtained degree, as well as skills and experience that you bring to the Swiss Re Group. You can look forward to extra rewards and benefits including an attractive performance-based bonus


We provide feedback to all candidates via email. If you have not heard back from us, please check your spam folder.




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.


Reference Code: 128830 



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