We're looking for an Analytics Engineer who enjoys turning raw data into reliable, trusted datasets that drive business decisions. You'll work closely with product, engineering, and business stakeholders to build scalable data models, improve tracking quality, and enable self-service analytics.
This role combines strong SQL skills with analytics engineering best practices and a solid understanding of digital product tracking.
Your tasks would be...
Build, maintain, and optimize scalable data models using dbt
Develop reliable, well-documented datasets for reporting and business analysis
Write efficient and maintainable SQL queries for complex analytical use cases
Maintain and improve event tracking using Google Analytics 4 (GA4)
Collaborate closely with Product and Engineering teams to design tracking concepts and ensure high data quality
Validate new tracking implementations and investigate data discrepancies
Implement and maintain data quality tests and monitoring within dbt
Support BI dashboards and reporting by creating trusted and reusable data sources
Continuously improve the analytics engineering stack, processes, and best practices
Have strong SQL skills and experience working with large-scale datasets
Bring hands-on experience with dbt, including models, tests, documentation, and incremental models
Have experience implementing and validating Google Analytics 4 (GA4) tracking
Understand event-based analytics and digital product measurement
Have worked with modern cloud data warehouses such as BigQuery, Snowflake, or Redshift
Are familiar with Git and collaborative development workflows
Possess strong analytical thinking and problem-solving skills
Communicate effectively with both technical and non-technical stakeholders
Ideally have experience with orchestration tools such as Airflow, Dagster, or Prefect
Have experience with BI platforms such as Looker, Tableau, Power BI, or Metabase
Have knowledge of JavaScript or Google Tag Manager for tracking implementations
Bring experience with experimentation (A/B testing) and product analytics
Are familiar with Python for data processing or automation
Skills Required
- Strong SQL skills and experience working with large-scale datasets
- Hands-on experience with dbt including models, tests, documentation, and incremental models
- Experience implementing and validating Google Analytics 4 (GA4) tracking
- Understanding of event-based analytics and digital product measurement
- Experience with modern cloud data warehouses such as BigQuery, Snowflake, or Redshift
- Familiarity with Git and collaborative development workflows
- Implement and maintain data quality tests and monitoring within dbt
- Support BI dashboards and reporting by creating trusted and reusable data sources (Looker, Tableau, Power BI, Metabase)
- Strong analytical thinking and problem-solving skills
- Effective communication with technical and non-technical stakeholders
- Knowledge of JavaScript or Google Tag Manager for tracking implementations
- Experience with experimentation (A/B testing) and product analytics
- Familiarity with Python for data processing or automation
- Experience with orchestration tools such as Airflow, Dagster, or Prefect
What We Do
Wellster Healthtech Group is a Munich-based health technology company dedicated to expanding access to effective medical treatments across Europe. The company operates a comprehensive digital health ecosystem featuring telemedicine services and specialized health portals such as GoSpring, GoLighter, and MySummer. By integrating data-driven solutions and clinical standards, Wellster aims to build the largest and most caring healthcare company in Europe.
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