Commercial Planning Analyst

About the role

We’re looking for a Data Analyst to join the Parcels Planning team. This role will report to the Commercial Planning Manager and support commercial planning, forecasting, latest estimates, statistical analysis and performance modelling. You'll help develop the analytical insight that underpins commercial decisions by combining business understanding with statistical techniques, causal analysis and AI‑assisted workflows. You’ll help make sure the team has the right data, reporting and analysis needed to understand business performance and make better decisions.

The Commercial Planning Manager will own the overall planning rhythm, including budgeting, 4+8 forecasting, monthly latest estimates and commercial deep dives. Your role will be to support that process by preparing analysis, maintaining key reporting outputs, investigating performance movements and helping turn data into clear insight.

The Parcels business moves quickly, with many variables across countries, items, partners, parcel types, pricing, demand and inventory. We need someone who enjoys investigating why performance changes, is naturally curious about causal relationships rather than simply reporting numbers, and is interested in applying statistical techniques and modern AI tools to improve analysis and forecasting.

This is a great role for someone who is already strong in commercial analysis, confident working with data, and able to quickly understand a fast‑moving business. You’ll need to bring structure, accuracy and sharp analytical thinking from day one, helping the Commercial Planning Manager and wider Planning team make better decisions.

What you’ll do

• You’ll support the Commercial Planning Manager with the monthly latest estimate process, helping prepare the data, analysis and reporting needed to understand expected performance across key markets.
• You’ll help maintain regular planning and commercial reporting across sales, demand, revenue, margin, orders, AOV, conversion, item performance and other key Parcels KPIs.
• You’ll prepare analyses that help explain performance movements, risks and opportunities across countries, categories, parcel types, partners and customer behaviour.
• You’ll use AI tools responsibly to accelerate analysis, generate code, automate repetitive analytical tasks, validate findings and improve productivity while maintaining appropriate analytical rigour.
• You’ll support budget and forecast cycles by helping gather inputs, check assumptions, prepare data cuts and analyse movements versus previous forecasts, budget or actual performance.
• You’ll run ad hoc analysis to answer specific commercial and operational questions from the Commercial Planning Manager, AD of Planning and wider Parcels team.
• You’ll help identify where assumptions are working, where they are not, and where further investigation may be needed.
• You’ll support data quality checks, helping spot inconsistencies, missing data or reporting issues before they impact planning outputs.
• You’ll help create simple, clear outputs that can be used in planning reviews, leadership updates and commercial discussions.
• You’ll work with the BI Developer to consume trusted reporting datasets and with the Commercial Planning Manager to translate analytical findings into commercial recommendations.
• You’ll help the team move away from manual, one‑off data pulls towards more repeatable and scalable ways of working.

Requirements

• Experience in commercial analysis, planning analysis, data analysis or a similar analytical role with exposure to forecasting, statistical analysis or business modelling.
• Experience using AI tools such as ChatGPT, Claude, Gemini or similar to support analytical workflows, generate SQL or Python, automate repetitive analysis, validate findings and improve productivity.
• Strong Excel or Google Sheets skills, with the ability to work confidently with large datasets.
• Experience using BI tools such as Looker, Looker Studio, Tableau, Power BI or similar.
• Strong analytical thinking with an understanding of statistical concepts and the ability to distinguish between descriptive reporting, correlation and likely causal drivers.
• Comfortable working with commercial KPIs such as revenue, margin, demand, orders, conversion, AOV, pricing, forecast accuracy or inventory.
• Strong attention to detail, especially when supporting forecast, budget, latest estimate or business‑critical reporting processes.
• Working knowledge of statistical techniques such as regression, hypothesis testing, confidence intervals, time series analysis or forecasting methods.
• Clear communication skills, with the ability to explain analysis in a simple and practical way.
• A structured and reliable way of working, with the ability to manage regular reporting tasks while also supporting ad hoc analysis.
• Curiosity, ownership and a willingness to dig into messy data or unclear business questions.

What success looks like

• The Commercial Planning Manager has reliable, timely and well‑prepared analysis to support latest estimates, forecasts and commercial reviews.
• Monthly latest estimate reporting is accurate, consistent and easier to prepare.
• Performance movements are easier to understand, explain and investigate.
• Analytical work provides commercially meaningful insight, with recommendations supported by evidence and appropriate statistical reasoning.
• Data issues are spotted earlier and escalated clearly.
• Planning outputs become more repeatable, less manual and more trusted by the wider team.
• The Data Analyst becomes a key support partner to the Commercial Planning Manager and wider Parcels Planning team.

Equal opportunity employer statement

We are an equal opportunity employer and all employment is decided on the basis of qualifications, merit and business need. If you need reasonable accommodation at any point in the application or interview process, please let us know.