Expert Data Engineer

About Team

We are Life Health Data Analytics Re, 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 data and analytics to enable Swiss Res LH business to make data-driven decisions. Both our team and our partners are spanning across different countries and serving a global customer basis. We support a broad range of existing products and manage a pipeline of new and exciting analytics products.

About the Role

In your role as a Data Product Manager in LH Data Analytics team, you work as part of a team of Analytics specialists to create analytics products that address various business problems, such as monitoring our portfolio performance, enhancing our assumptions setting or tracking our operational efficiency.

Key Responsibilities

• Lead the end-to-end delivery of analytics products, from conception through to BAU support

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

• Product Shaping Data Visualization: Gather requirements, design robust solutions and contribute to the build of impactful analytics applications using our strategic platforms to support key business processes, with a focus on rapid prototyping quick iterations

• Data Modelling: Contribute to design and build of a user-centric data asset that is modelled around how our business understands the data

• Product Management: Apply core principles of product management throughout our deliverables to ensure that we deliver excellent products that fit the business needs as part of a wider portfolio of Products. Support planning and prioritization processes (QBR)

Additional Responsibilities:

• Design scalable and robust data architecture and engineering structures necessary to support new data analysis initiatives.

• Working closely with Application teams, data warehouse teams and external partners/vendors to ensure planned solution execution.

• Be the source data expert: profile and document objects, business rules, and caveats. Develop reporting framework and cohesive reporting deliverables.

• Support issue resolution, production incident and problem management and participate in production Go-Live activities

• Flexibility to learn new reporting or analytical platforms as per new organizational initiatives and build solution using these platforms.

About you

In short, youre a hands-on analytics product owner or technical business analyst who loves working as part of team to deliver quality data products! You enjoy getting into the details and enjoy problem solving.

You should have:

• A university degree in technical field (engineering, computer science or quantitative) or in business with complementary technical experience.

• 5+ years of data-related work experience in the Financial Industry, Consulting or Tech

• 3+ years in building data visualizations and workflows for others to use

• 3+ years with SQL for testing and analyzing data

• 2+ years with Power BI is required

• Strong stakeholder management and ability to clearly communicate complex technical concepts.

• Solid ability to analyze and solve problems, and to deliver technical solutions that meet business needs.

• Experience with information modelling, understanding of data modelling concepts and working with data pipelines

Nice To have:

• Working knowledge of Palantir Foundry is preferred

• Experience in the (Re-)Insurance industry is a plus

• Experience with Python and or Pyspark

• Experience with TypeScript is a plus

• An agile certification (e.g., Product Owner, Scrum Master, Agile Project Management, Kanban) and/or the equivalent hands-on experience in operationalising scaled agile frameworks is beneficial.

Behavioural Competences

• Proficiency in spoken and written English communication is important.

• Excellent project management and interpersonal abilities

• Excellent communication and presentation skills; ability to communicate on different levels of seniority.

• Team player; enjoying being part of a cross-functional setup.

• Ability to perform well on time-critical endeavours and on multiple fronts at the time.