Expert Data Analyst & Engineer (all)

80-100% in Winterthur

Shape the data-driven future of healthcare with us.
Our small, high-performing team works on everything that makes customer data exciting – from data-driven strategy development and advanced analytics to automated decision-making processes. As an Expert Data Analyst & Engineer, you will play a key role in building and developing our data platforms, analytical models, and insights landscape – directly contributing to the advancement of our market strategy and customer experiences.

Exciting tasks

• Execution of database queries, data modeling, data analysis and data visualization
• Development, optimization and automation of scalable data pipelines and analytical workflows
• Preparation and visualization of analysis results as well as communication of areas of action, recommendations and measures to internal stakeholders
• Conception and development of advanced analytics and machine learning models for predicting customer behavior, churn, potential and efficiency improvements.
• Close collaboration with business stakeholders, IT and data scientists to define data-driven strategies and decision-making principles.
• Development and maintenance of dashboards, KPIs and analytical frameworks for management, executive management and specialist departments.
• Ensuring compliance with internal and external guidelines regarding data access, use, and sharing.
• Coaching and professional support for the team, as well as building up know-how regarding modern technologies and best practices.

This is what you bring with you

• University degree in Data Science, Statistics, Business Informatics, Computer Science or a related field
• Several years of experience in complex data engineering and analytics projects (ideally in a regulated environment or large company)
• You are proficient and experienced in programming languages ​​such as Python/Pyspark and SQL – experience with Azure Synapse and Databricks is ideal.
• Confident in the use of BI tools such as Power BI and skilled in data modeling, performance tuning and automation.
• Several years of experience in building data architectures, data pipelines and governance structures
• Knowledge of applied statistics, predictive analytics and machine learning
• High consulting expertise, strategic thinking and enjoyment of interdisciplinary collaboration.
• Fluent German skills (native speaker level) and business-level English skills

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