Data Analyst / Business Inelligenece Manager (m/w/d)

We are looking for an experienced developer while our grandparents still regularly integrated natural products like honey and propolis into the family's nutrition to support the immune system. Exactly that is what we want to change with bedrop!

We bring nature and science together. For this, we develop premium products in the Consumer Healthcare and Beauty sector that create real added value for our customers. Our brand is growing strongly – over our webshop just as much as over numerous other sales channels (marketplaces, retail, international markets).

Your role

As Data Analyst / Business Intelligence Manager (m/w/d), you are the central interface between our data and the people who make decisions based on it. You turn numbers into insights, insights into recommendations – and recommendations into measurable growth. You work closely with management as well as teams from Marketing, E-Commerce, Operations, Finance, Product Development, and external partners.

Tasks

Activities

• You build our business intelligence landscape strategically: from data architecture to dashboards to self-service reporting for all departments

• You analyze performance data from webshop, marketplaces, CRM, paid media, and logistics – and lead concrete action recommendations for management based on this

• You develop KPIs, forecasts, and scenarios that make our growth course steerable (revenue, margin, CAC, LTV, retention, inventory levels, channel profitability)

• You identify optimization potential along the entire customer journey – from acquisition to conversion to repeat business

• You set AI and machine learning applications productively: e.g., for forecasting, customer segmentation, churn prediction, automated reports or marketing measurement

• You establish a modern data stack setup (e.g. BigQuery/Snowflake, dbt, Looker/Power BI/Tableau) and ensure a clean, scalable data basis

• You work closely with Marketing, E-Commerce, Operations, Finance, and external partners and translate complex data questions into understandable, decision-making answers

• You are a sparring partner for management in strategic questions around growth, channel mix, and internationalization

Qualification

Your profile

• Completed studies in the natural sciences or quantitative field – e.g. mathematics, statistics, (business) informatics, engineering, physics, or business administration with a clear data/analytics focus

• Several years of professional experience as Data Analyst, BI Manager, Data Scientist, or in a comparable analytical role, ideally in an E-Commerce, Consumer, or scale-up environment

• In-depth experience with AI and machine learning – you have developed, introduced, or productively operated AI-based use cases (e.g. forecast models, AI workflows, classification, recommendation systems, or AI-supported automations)

• Very good SQL skills as well as secure handling of Python or R; experience with modern data warehouses (BigQuery, Snowflake, Redshift) and BI tools (Looker, Power BI, Tableau, Metabase o. ä.)

• Basic understanding of E-Commerce and online marketing: you know how performance marketing, CRM, conversion optimization, marketplaces, and webshop work together

• Structured, solution-oriented working style with a strong business understanding – you think beyond the numbers and make decisions with impact

• Hands-on mentality, high self-motivation, and enthusiasm for actively shaping a BI setup in a rapidly growing company.

• Very good German and English skills in writing and speaking

Nice to have

• Experience in building forecast, pricing, or margin models for Consumer Brands

• Experience with tools like dbt, Airflow, Fivetran/Stitch, or comparable components of a modern data stack

• Experience with tracking and measurement setups (GA4, Server-Side Tracking, Admetrics, Marketing-Mix-Modelling)

• First leadership or mentoring experience in the Data/Analytics field

• A long-term perspective in a rapidly growing Health/Food scale-up
• Collaborative work environment in a good company climate
• Flat hierarchies & short decision-making paths
• Fair remuneration
• Pension plan
• Variety and interesting tasks
• Employee discounts
• Scale-up flair: You work closely with a dynamic and highly motivated team
• Participation opportunities in cross-functional company development
• Employee events (if possible)
• Networking at various events and dates, including Judith Williams
• Start date immediately

Ready for exciting challenges in a dynamic team? Then we look forward to your application.

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