Level

HelloFresh

Demand Planner (f/m/x)

HelloFresh is hiring a Demand Planner (f/m/x) in Berlin, Germany. Level rates it ; you can apply on HelloFresh.

Level's read on this job

  • Little AI ●○○○ is how Level rates this role: aI is not part of the work.
  • Tools and skills the posting cites include Claude, Gemini and Databricks.
  • Level lists 385 other open roles at HelloFresh.

AI in this role

claudegeminidatabricks

The role: What's in the Box

We're looking for a Demand Planner who is comfortable working with data and is eager to develop their forecasting skills in a fast-paced supply chain environment. This is a hands-on analytical role: you'll spend your time writing SQL, building reports, validating forecasts, and learning how demand planning drives operational decisions.

You'll support the demand signal that drives every operational decision at HelloFresh, from how much food we order to how many staff we schedule and how many trucks we book. Your work directly contributes to reducing food waste, improving product availability, managing labour costs, and protecting customer experience for millions of meals across Europe.

Our Demand Planning team is transitioning from a legacy operating model to a unified, automated, data-driven global function. You will contribute to that transformation, supporting the build of next-generation forecasting capabilities while helping keep daily supply chain execution accurate.

What you’ll do: The Recipe

  • Own the day-to-day data validation and QA process across demand data pipelines. You are the first line of defence for forecast reliability, identifying anomalies, flagging data breaks, and ensuring inputs are clean before they reach the plan.
  • Build and maintain automated alerting for data quality issues, missing feeds, and forecast anomalies so problems are caught early, not after Operations has already acted.
  • Investigate discrepancies between forecast and actuals, documenting root causes and maintaining a log of known data issues to prevent recurrence.
  • Write and maintain SQL queries to extract, validate, and transform demand data across cloud data platforms (e.g., Databricks, Snowflake).
  • Support the development and refinement of forecasting models, applying statistical techniques under guidance from senior analysts, learning to work with trend, seasonality, and promotional adjustments.
  • Build and maintain dashboards and automated reporting using visualisation tools (e.g., Tableau) that give stakeholders access to demand insights, including key operational KPIs such as forecast accuracy, bias, waste risk, and availability.
  • Work alongside forecast engineers and senior analysts to support scalable pipelines, helping ensure local market nuances are handled within the unified codebase.
  • Use AI tools (e.g., Gemini, Claude) to speed up everyday tasks like writing SQL, debugging queries, and summarising data, we encourage experimentation with AI as part of how the team works smarter.
  • Support the generation and validation of daily and weekly demand plans for European markets. You'll help ensure the Decision-Time forecast is accurate at the exact moment Procurement and Production need to act.
  • Monitor trends, seasonality, and promotional impacts. Flag when the plan may need adjusting and escalate where appropriate.
  • Track forecast performance against operational KPIs, accuracy MAPE, bias, and their downstream impact on waste, availability, and fulfilment, and surface insights that help the team improve.
  • Participate in the weekly S&OP planning cycle, preparing materials and analysis for meetings with Market Leadership, Logistics, Production, and Procurement.
  • Help ensure growth campaigns and promotions from Marketing are reflected in the demand view before they hit the supply chain.
  • When deviations occur, support root-cause analysis: pull the data, quantify impact on waste and service levels, and help senior analysts deliver actionable insights.

What you’ll bring: The Ingredients

  • 2–3 years in Demand Planning, Supply Planning, Supply Chain Analytics, or a related analytical role. Exposure to e-commerce, food retail, or FMCG is a plus, perishable or short shelf-life experience is a bonus.
  • Strong technical skills in SQL, Excel, PowerBI (or Tableau). Python is a plus.
  • Familiarity with forecasting concepts: you understand what bias and accuracy metrics (e.g., MAPE, WAPE) mean, why they matter, and how they connect to operational outcomes like waste and availability.
  • Curiosity about forecasting in environments with limited historical data (newer markets, product launches) and willingness to learn techniques like proxy data and trend smoothing.
  • Awareness of demand and supply risks and eagerness to learn how mitigations (buffers, caps, swaps) work in practice.
  • Comfortable using project tools like JIRA/Confluence for tracking tasks and contributing to improvement backlogs.
  • Good communication skills: you can present data clearly and explain what the numbers mean to both technical and non-technical colleagues.

Above all, we are looking for people who will make HelloFresh better. There are many different ways of developing skills, and we love diverse experiences! So even if you don’t “tick all the boxes” but think you’d thrive in this role, we would really like to learn more about you.

Are you the missing ingredient? If this sounds like a tasty opportunity, we’d be excited to hear from you. We aim to review your profile and respond within 5 business days.

What we offer: The Toppings

  • Modern and comfortable working space with great co-workers in Berlin-Kreuzberg.
  • Discount for HelloFresh boxes and Convini products.
  • Development possibilities along with internal trainings and a yearly Learning & Development budget.
  • Flexible working hours including Work From Home/Work from Abroad/Sabbatical Policy, as well as a home office set up budget.
  • Extensive Onboarding and Buddy Program.
  • Social events including team events, Friday beers, company runs, book club, etc.
  • Discounted fitness offers with our Urban Sports Club and John Reed partners and yoga classes.
  • Well-being initiatives in cooperation with Headspace and Spill.
  • Childcare and company pension scheme benefit.
  • Monthly transportation budget via NAVIT.

Are you up for the challenge?

Please submit your complete application below including your salary expectations and earliest starting date.

How we rate this

Demand Planner (f/m/x) at HelloFresh rates 23 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

ClaudeGeminiDatabricks

Questions you could be asked

  1. What's a project where you used Claude hands-on?
  2. Walk me through how you've used Gemini in your day-to-day work.
  3. What are the limits of Databricks that you've run into, and how did you work around them?

Adapt your resume

  • List these exact terms on your resume: Claude, Gemini, and Databricks. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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