Demand Planner (f/m/x)

In this Demand Planner role, you will turn data into actionable forecasts to support sourcing, staffing, and logistics decisions for HelloFresh Europe. You’ll work with cross-functional teams to improve forecast reliability and reduce waste, while helping to automate and modernize our demand planning capabilities. You’ll build data pipelines, QA processes, and dashboards to provide timely insights on KPIs like accuracy, bias, waste risk, and availability. This is a hands-on, analytical position with a clear impact on customer experience and operational efficiency.

• 20% off HelloFresh
• 40% off Factor subscriptions
• laptop provided
• home office setup budget
• pension scheme
• flexible hybrid work model (50% office, 50% remote)

• Own data validation and QA across demand data pipelines; identify anomalies and ensure clean inputs
• Build automated alerts for data quality issues and forecast anomalies
• Investigate discrepancies between forecast and actuals; document root causes
• Write and maintain SQL queries to extract, validate, and transform demand data across cloud platforms (Databricks, Snowflake)
• Support development and refinement of forecasting models; apply statistical techniques (trend, seasonality, promotions)
• Build and maintain dashboards/reports (Tableau) showing KPIs like forecast accuracy, bias, waste risk, availability
• Collaborate with forecast engineers and senior analysts to support scalable pipelines and unified codebase
• Use AI tools to speed up tasks such as writing SQL and debugging queries
• Support daily/weekly demand plans for European markets; ensure timely decision timing for procurement/production
• Monitor trends, seasonality, and promotional impacts; flag adjustments and escalate as needed
• Track forecast performance against KPIs; surface insights to improve processes
• Participate in weekly S&OP planning with Market Leadership, Logistics, Production, and Procurement
• Ensure marketing campaigns are reflected in demand view before supply chain actions
• Contribute to root-cause analysis when deviations occur to quantify impact on waste and service levels

• 2–3 years in Demand Planning, Supply Planning, Supply Chain Analytics, or related analytical role
• Strong SQL, Excel, PowerBI or Tableau; Python is a plus
• Familiarity with forecasting concepts (MAPE, WAPE) and their link to waste and availability
• Curiosity about forecasting with limited historical data and willingness to learn techniques like proxy data and trend smoothing
• Awareness of demand and supply risks and mitigations (buffers, caps, swaps)
• Experience with Jira/Confluence for task tracking and backlogs
• Good communication skills to explain data insights to technical and non-technical colleagues

• communication
• curiosity
• collaboration
• SQL
• Excel
• PowerBI or Tableau