Data Engineer transforming complex datasets into actionable insights for Swiss Re's P&C Finance team. Building data pipelines and reporting tools in a hybrid work environment.
About the role
- Data Analyst enhancing the data-driven future for a leading wellness group by optimizing data flows and creating predictive models. Collaborating across departments to deliver effective BI insights and innovative solutions.
Responsibilities
- You actively drive our data-driven future — by building, optimizing and automating data pipelines, models and AI applications.
- You develop automated workflows and predictive models for departments such as Revenue Management, Marketing or Product — efficient, scalable and future-focused.
- Using BI tools like Amazon QuickSuite, you create interactive dashboards that make complex relationships visible and enable data-driven decision-making.
- You apply your SQL expertise to analyze complex databases, ensure data quality and provide solid foundations for decisions.
- With Python you develop and test innovative applications — for example forecasting or probabilistic models that make business processes smarter and more efficient.
- You act as a sparring partner for our business units — understand their goals, identify automation potential and collaborate to develop solutions that deliver real value.
Requirements
- You hold a degree in Data Science, (Business) Computer Science or a comparable qualification — and have at least 2 years of experience in analytical roles.
- You have basic SQL skills, initial practical experience with cloud environments (AWS, Azure) and some experience in data modeling.
- Python is one of your core tools. You are also familiar with QuickSuite or willing to work with AWS’s BI solution.
- You can prepare and present complex technical topics in a clear and persuasive manner — internally and externally, in German and English.
- You engage with stakeholders at eye level, spot opportunities in data and actively help shape the company’s data-driven future.
- You work in a structured, solution-oriented way and proactively contribute your know-how to the team — with curiosity, responsibility and a passion for data & innovation.
Benefits
- Exclusive employee perks: access our products and services at special rates — a real plus for your wellbeing.
- Flexible & fair: whether shift work or flexitime — we offer fair, modern working-time models that fit your life.
- Smooth onboarding: a structured onboarding process with a training plan and mentoring program ensures you feel welcome from day one.
- Individual development opportunities: we invest in you and support your growth through personal training with a dedicated budget.
- Stability & security: as part of an established corporate group, you benefit from strong backing, modern structures and long-term job security.
- More for life: childcare subsidies, bike leasing, corporate fitness and a company pension scheme that goes beyond statutory requirements give you additional peace of mind.
- Free drinks & perks: refreshments are on us — plus attractive meal discounts with our partner caterers.
Job title
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Degree requirement
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