Job
- Level
- Erfahren
- Job Feld
- BI, Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- München
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In dieser Rolle entwickelst du skalierbare Datenmodelle, optimierst das Event-Tracking mit Google Analytics 4 und unterstützt das Reporting durch vertrauenswürdige Datenquellen, um fundierte Entscheidungen zu ermöglichen.
Job Technologien
Deine Rolle im 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.
Unsere Erwartungen an dich
Qualifikationen
- 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.
Erfahrung
- 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.
Unser Angebot
- Hybrid work.
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Wellster Healthtech Group GmbH
Die Wellster Healthtech Group GmbH mit Sitz in München ist ein fortschrittliches HealthTech-Unternehmen, das digitale Zugänge zu medizinischen Behandlungen und Beratungen ermöglicht. Ihr Schwerpunkt liegt auf benutzerfreundlichen Plattformen, die verschiedene Bereiche der Gesundheit abdecken, wie Gewichtsmanagement und Selbsttests. Durch die Verbindung von medizinischem Wissen und digitalen Lösungen verbessert Wellster die Zugänglichkeit und Benutzerfreundlichkeit der Gesundheitsversorgung.
Description
- Unternehmenstyp
- Startup
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Gesundheitswesen, Soziales
Analytics Engineer
- Ort
- München
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
