Senior Data Analytics Engineer
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Responsibilities
- Act as a consulting partner to product teams through continuous requirements engineering, supporting the implementation of data analytics projects
- Design ETL architectures and execute ETL processes
- Define key performance indicators, identify the correct data sources, and connect them by retrieving data via SQL and building dynamic reports and dashboards
- Define, document, and refine web tracking concepts for product teams, in close collaboration with app developers and data analysts
- Set up new tracking concepts for apps and components
- Prepare proactive analyses to continuously identify improvement opportunities across apps, components, and online product areas
- Measure the effectiveness of implemented improvements by designing, applying, and evaluating A/B/n tests
Qualifications
Must Have
- 3–5 years of experience as a Data Analyst or Web/App Analyst
- Excellent SQL knowledge
- Profound experience in defining and implementing tracking concepts within hybrid app solutions, especially Google Analytics 3 (Universal Analytics) and Google Analytics 4
- Hands-on experience with ETL services and data pipelines
- Expertise in at least one standard BI reporting tool (Tableau, Looker Studio / Google Data Studio, Power BI, Qlik, SAP BusinessObjects) to visualize insights
- Proven knowledge of statistical methods and principles, including experimentation and A/B/n testing evaluation
- Master's degree in a technical, data, or mathematics-related field (e.g. statistics, physics, engineering sciences, industrial computer science, or similar) — or equivalent practical experience
Nice to Have
- Practical experience with Google BigQuery or similar data warehouse / data lake systems
- Experience with server-side tracking implementation
- Prior experience in e-commerce companies