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HEHelloFresh

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

Berlin
Full-timeWith Home OfficeExperienced
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.

Requirements

  • 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

Tasks

  • 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.

Work Experience

  • 4 years

Education

  • Bachelor's degreeOR
  • Master's degree

Languages

  • EnglishFluent

Tools & Technologies

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

Benefits

Flexible Working

  • Flexible hours
  • Work From Home/Abroad options

Corporate Discounts

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

Retirement Plans

  • Company pension scheme

Healthcare & Fitness

  • Yoga classes

Mental Health Support

  • Headspace access

Other Benefits

  • Spill access

Additional Allowances

  • Home office setup budget

Childcare

  • Childcare support

Public Transport Subsidies

  • Monthly allowance for Deutschlandticket

Learning & Development

  • Access to internal trainings
  • Central L&D budget

Modern Office

  • Modern office in Berlin-Kreuzberg

Team Events

  • Social events
  • Team outings
  • Company runs

Snacks & Drinks

  • Friday beers
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of HelloFresh and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.

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