You will strategically expand our business intelligence landscape: from data architecture to dashboards and self-service reporting for all departments
You will analyze performance data from the webshop, marketplaces, CRM, paid media and logistics — and derive concrete recommendations for management
You will develop KPIs, forecasts and scenarios that make our growth trajectory controllable (revenue, margin, CAC, LTV, retention, inventory levels, channel profitability)
You will identify optimization opportunities across the entire customer journey — from acquisition through conversion to repurchase rate
You will deploy AI and machine learning applications productively: e.g., for forecasting, customer segmentation, churn prediction, automated reports or marketing measurement
You will establish a modern data stack setup (e.g., BigQuery / Snowflake, dbt, Looker / Power BI / Tableau) and ensure a clean, scalable data foundation
You will work closely with marketing, e-commerce, operations, finance and external partners and translate complex data questions into clear, decision-ready answers
You will be a sparring partner for management on strategic questions related to growth, channel mix and internationalization

Degree in a quantitative/scientific field — e.g., Mathematics, Statistics, (Business) Computer Science, Industrial Engineering, Physics or Business Administration with a clear data/analytics focus
Several years of professional experience as a Data Analyst, BI Manager, Data Scientist or in a comparable analytical role, ideally in an e-commerce, consumer or scale-up environment
Solid experience with AI and machine learning — you have demonstrably co-developed, implemented or operated AI-based use cases in production (e.g., forecasting models, AI workflows, classification, recommender systems or AI-driven automations)
Excellent SQL skills and confident use of Python or R; experience with modern data warehouses (BigQuery, Snowflake, Redshift) and BI tools (Looker, Power BI, Tableau, Metabase, etc.)
Basic understanding of e-commerce and online marketing: you know how performance marketing, CRM, conversion optimization, marketplaces and webshop interact
Structured, solution-oriented working style with strong business understanding — you think beyond the numbers and make decisions that have impact
Hands-on mentality, high self-drive and desire to actively shape a BI setup in a fast-growing company
Very good German and English language skills, both written and spoken

A long-term perspective in a fast-growing health/food scale-up
Collegial collaboration in a positive working environment
Flat hierarchies & short decision-making paths
Fair compensation
Company pension plan
Varied and interesting tasks
Employee discounts
Scale-up atmosphere: you will work closely with a dynamic and highly motivated team
Opportunities to participate in cross-functional company development
Employee events (where possible)
Networking at various events and appointments, including Judith Williams

Data Analyst / Business Intelligence Manager

Key skills