Data Analyst, Business Intelligence Manager

bedrop 🐝

Data Analyst transforming data into insights for strategic decisions at bedrop. Collaborating with various teams to drive growth through data analyses and recommendations.

Posted 6/1/2026full-timeMannheim • 🇩🇪 GermanyMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

Amazon RedshiftBigQueryPythonSQLTableau

About the role

Key responsibilities & impact

You will strategically expand our business intelligence landscape: from data architecture and dashboards to self-service reporting for all teams
You will analyze performance data from the webshop, marketplaces, CRM, paid media and logistics — and derive concrete, actionable 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 in production: e.g., for forecasting, customer segmentation, churn prediction, automated reports or marketing measurement
You will establish a modern data stack (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 act as a sparring partner for the management team on strategic questions around growth, channel mix and internationalization

Requirements

What you’ll need

Degree in a quantitative or 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
Strong 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, recommendation systems or AI-driven automations)
Very good 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 webshops interact
Structured, solution-oriented working style with strong business acumen — you think beyond the numbers and make decisions that have impact
Hands-on mentality, high self-motivation and enthusiasm to actively shape a BI setup in a fast-growing company
Very good German and English skills, both written and spoken.

Benefits

Comp & perks

A long-term perspective in a fast-growing health/food scale-up
Collegial collaboration in a positive working atmosphere
Flat hierarchies & short decision-making paths
Fair compensation
Company pension scheme
Varied and interesting responsibilities
Employee discounts
Scale-up vibe: 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 with Judith Williams

ATS Keywords

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Hard Skills & Tools

data architecturedashboardsself-service reportingKPI developmentforecastingcustomer segmentationchurn predictionSQLPythonR

Soft Skills

structured working stylesolution-orientedbusiness acumenhands-on mentalityself-motivationenthusiasmcommunicationcollaborationanalytical thinkingstrategic thinking