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About the Role
Drive end-to-end analytics projects across E-Commerce, translating business questions into actionable insights. Develop and analyze customer segments to support personalization, retention, and lifetime value optimization. Own and continuously improve BI and Web Analytics systems.
Responsibilities
- Drive end-to-end analytics projects across E-Commerce (Paid Marketing, CRM, Product), translating business questions into actionable insights
- Extract, consolidate, and model data from ERP systems and the Data Warehouse using SQL, and build automated data feeds for CRM and marketing platforms (e.g. Emarsys)
- Develop and analyze customer segments and audiences to support personalization, retention, and lifetime value optimization
- Own and continuously improve BI and Web Analytics systems (e.g. Looker, Power BI, GA4), including dashboards, KPIs, and data quality; support tracking implementations (e.g. GTM, Firebase, Adjust)
- Collaborate closely with Marketing, E-Commerce, ERP, BI, and Finance teams and actively promote a data-driven mindset
Requirements
- Several years of experience working with customer and marketing data, ideally in E-Commerce, Retail, or Fashion
- Strong quantitative background (e.g. Economics, Statistics, Mathematics, Computer Science) with experience in statistical analysis
- Solid understanding of ERP systems and Data Warehouse architectures, with strong skills in SQL and Python and experience using BI tools (e.g. Looker, Power BI)
- Deep knowledge of marketing and e-commerce analytics, including hands-on experience with web and app tracking data
- Ability to work independently, communicate clearly with non-technical stakeholders, and a high level of initiative
- Excellent English (German is a plus)
Skills
- SQL
- Python
- BI tools (e.g. Looker, Power BI)
- Web and app tracking data
- Statistical analysis
- Data modeling
- Data visualization
- Google Tag Manager (GTM)
- Firebase
- Adjust