Junior Analytics Engineer

About The Team

 

Data & Analytics Reinsurance is a key tech partner for our Reinsurance divisions, supporting in the transformation of the data landscape and the creation of innovative analytical products and capabilities. We use modern approaches to running the product development lifecycle, design thinking and rapid prototyping to quickly test for value. We build powerful insights and deploy them into production as part of analytical products. Both our team and our partners are truly global, spanning across different countries and serving a global customer basis.

 

About The Role

In your role as an Analytics Engineer in Data & Analytics Re, you collaborate with data engineers, business analysts and product owners to build impactful products tackling a variety of business challenges, such as improving our portfolio strategy, costing accuracy and financial performance.

Your key responsibilities are:

• Data Exploration & Consulting: Acting as a connector between business and data, advising on how best to use data and analytics to improve business outcomes

• Data Modelling: Building a user-centric data asset that is modelled around how our business understands the data

• Application Development & Data Visualization: Building impactful applications to support key business processes, with a focus on rapid prototyping & quick iterations

• Product Management: Coach our business partners to become strong product managers, practicing lean agile development methods

 

To support you in growing into this position requiring road skills, you will be paired up with a mentor that shows you the ins and outs of the role for the first 12-18 months. Additionally, we will support you with a structured learning offering covering technical as well as business aspects

 

About You

• University degree or equivalent experience with a quantitative background, we welcome graduates as well as people with first experience in a data-related field!

• Previous exposure to coding / software engineering during studies or in a professional context (we work with Python and Typescript)

• First experience in building applications and/or data visualizations is appreciated

• Basic understanding of data modelling concepts and working with data pipelines, experience with Spark is a plus

• Interest to analyze data within the business landscape while applying conceptual and problem-solving skills. You enjoy dealing with colleagues in business functions!

• And most importantly, you are a people person that loves collaborating with others to find excellent solutions to hard business problems!

 

The minimum gross monthly base salary for this role is 2000 EUR full time. Our final offer to you will be set up fairly, considering the 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

 

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. 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.

 

 

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