Senior analyst Job in London

We’re looking for a Senior Demand Planning Analyst who is as comfortable writing SQL as they are explaining a forecast miss to a Procurement Director. This is a hybrid role: part data engineer, part forecaster, part cross-functional operator.

You’ll own the demand signal that drives every operational decision at HelloFresh, from how much food we buy to how many staff we schedule and how many trucks we book. Your forecasts directly determine food waste, labour costs, and 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 bridge that gap — building the next-generation forecasting capabilities while keeping daily supply chain execution accurate and agile.

• Write and maintain SQL queries daily to extract, validate, and transform demand data across cloud data platforms.
• Develop and refine forecasting models in Python, applying statistical and machine learning techniques — from simple trend and seasonality models through to more advanced approaches as the function matures.
• Work alongside forecast engineers to architect scalable pipelines, ensuring local market nuances are handled without breaking the unified codebase.
• Implement data validation and QA checks to ensure forecast reliability, with alerting for anomalies.
• Drive cross-functional alignment and play a key role in the weekly S&OP planning cycle with Market Leadership, Logistics, Production, and Procurement — ensuring the forecast is shaped by stakeholder inputs and shifting the conversation from error reporting to risk management and strategic alignment.
• Partner with Marketing to ensure growth campaigns and promotions are reflected in the demand view before they hit the supply chain.

SQL: Fluent. You write complex queries daily — joins, window functions, CTEs — and are comfortable working in cloud data platforms.

Python: Good working knowledge. You can write and maintain scripts for data manipulation, forecasting, and analysis. You don’t need to be a software engineer, but you’re confident using Python to solve analytical problems.

Experience building dashboards in tools such as Tableau or Power BI to make data accessible to non-technical stakeholders.

Excel/Google Sheets: Advanced. Still essential for ad-hoc analysis and stakeholder communication, but not your primary tool.

4+ years in Demand Planning, Supply Planning, or Supply Chain Analytics. E-commerce, food retail, or FMCG experience is strongly preferred — perishable/short shelf-life experience is a significant plus.

• Strong grasp of forecasting techniques: you understand bias, accuracy metrics (MAPE, WMAPE), trend decomposition, and how to evaluate model performance holistically.
• Experience forecasting in environments with limited historical data (newer markets, product launches) using proxy data and trend smoothing.
• Proven ability to manage demand and supply risks: proposing mitigations (buffers, caps, swaps) and communicating complex trade-offs to senior stakeholders.
• Comfortable with project tools like JIRA/Confluence for managing backlogs and improvement roadmaps.

We offer a hybrid working policy for eligible roles, allowing flexibility to work from home and in the office. Your application will be reviewed and if successful, a member of the Talent Acquisition Team will be in touch within 2 weeks.