Job
- Level
- Experienced
- Job Field
- BI, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Munich
- Working Model
- Hybrid, Onsite
Job Summary
In this position, you will develop scalable data models, optimize event tracking with Google Analytics 4, and support reporting by creating trusted data sources to enable informed business decisions.
Job Technologies
Your role in the team
- 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.
- 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.
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Our expectations of you
Qualifications
- 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.
- Have knowledge of JavaScript or Google Tag Manager for tracking implementations.
- Are familiar with Python for data processing or automation.
Experience
- 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.
- 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.
- Bring experience with experimentation (A/B testing) and product analytics.
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What we offer
- Hybrid work.
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Topics that you deal with on the job
Job Locations
This is your employer
Wellster Healthtech Group GmbH
Wellster Healthtech Group GmbH, based in Munich, is an advanced HealthTech company that provides digital access to medical treatments and consultations. Its focus is on user-friendly platforms that cover various areas of health, including weight management and self-testing. By combining medical expertise with digital solutions, Wellster enhances the accessibility and user-friendliness of healthcare.
Description
- Company Type
- Startup
- Working Model
- Hybrid, Onsite
- Industry
- Healthcare, Social Sector
Analytics Engineer
- Location
- Munich
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
