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HEHelloFresh

Sr. Demand Planning Analyst(m/w/x)

Berlin
Vollzeitmit HomeofficeBerufserfahren
AI/ML
Data Science

Forecasting meal kit demand with Python and SQL on cloud platforms. Fluent SQL and Python for data analysis required. Flexible hours, work from home/abroad options.

Anforderungen

  • Fluent SQL for complex queries (joins, window functions, CTEs)
  • Comfortable working in cloud data platforms (Databricks, BigQuery, Snowflake)
  • Good working knowledge of Python for data manipulation, forecasting, analysis
  • Confident using Python to solve analytical problems
  • Experience building dashboards in Tableau or Power BI
  • Making data accessible to non-technical stakeholders
  • Advanced Excel/Google Sheets for ad-hoc analysis
  • 4+ years in Demand Planning, Supply Planning, or Supply Chain Analytics
  • E-commerce, food retail, or FMCG experience strongly preferred
  • Perishable/short shelf-life experience is a significant plus
  • Strong grasp of forecasting techniques (bias, accuracy metrics, trend decomposition)
  • Understanding how to evaluate model performance holistically
  • Experience forecasting with limited historical data using proxy data
  • Experience forecasting with trend smoothing
  • Proven ability to manage demand and supply risks
  • Proposing risk mitigations (buffers, caps, swaps)
  • Communicating complex trade-offs to senior stakeholders
  • Comfortable with project tools like JIRA/Confluence
  • Managing backlogs and improvement roadmaps
  • Strong communication skills for presenting forecast insights
  • Explaining variance drivers clearly
  • Articulating trade-offs clearly to technical and non-technical audiences
  • Ensuring alignment across functions
  • Diverse experiences and willingness to learn

Aufgaben

  • Write and maintain SQL queries for data extraction, validation, and transformation.
  • Develop and refine forecasting models using Python and statistical techniques.
  • Design dashboards and automated reports for stakeholder self-service access.
  • Collaborate with forecast engineers to build scalable data pipelines.
  • Create and run scenario simulations to stress-test operational capacity.
  • Generate and validate daily and weekly demand plans for European markets.
  • Monitor trends, seasonality, and promotional impacts on demand.
  • Proactively flag and communicate forecast adjustments to the supply chain.
  • Implement data validation and QA checks to ensure forecast reliability.
  • Drive cross-functional alignment in the weekly S&OP planning cycle.
  • Partner with Marketing to integrate growth campaigns into demand forecasts.
  • Diagnose root causes of forecast deviations and deliver actionable insights.

Berufserfahrung

  • 4 Jahre

Ausbildung

  • Bachelor-AbschlussODER
  • Master-Abschluss

Sprachen

  • Englischfließend

Tools & Technologien

  • SQL
  • Databricks
  • BigQuery
  • Snowflake
  • Python
  • Tableau
  • Power BI
  • Excel
  • Google Sheets
  • JIRA
  • Confluence

Benefits

Flexibles Arbeiten

  • Flexible hours
  • Work From Home/Abroad options

Mitarbeiterrabatte

  • Discount on HelloFresh meal kits
  • Discounted Urban Sports Club membership
  • Discounted John Reed membership

Betriebliche Altersvorsorge

  • Company pension scheme

Gesundheits- & Fitnessangebote

  • Yoga classes

Mentale Gesundheitsförderung

  • Headspace access

Sonstige Vorteile

  • Spill access

Sonstige Zulagen

  • Home office setup budget

Kinderbetreuung

  • Childcare support

Öffi Tickets

  • Monthly allowance for Deutschlandticket

Weiterbildungsangebote

  • Access to internal trainings
  • Central L&D budget

Modernes Büro

  • Modern office in Berlin-Kreuzberg

Team Events & Ausflüge

  • Social events
  • Team outings
  • Company runs

Snacks & Getränke

  • Friday beers
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens HelloFresh erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.

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