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