Commercial Planning Analyst

Too Good To Go; København; Híbrido; DKK 420 000 - 640 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Flexible Work & Time Off

Hybrid work from offices or home

Health insurance and pension

Extra parental leave

Volunteer time

Resumo da oferta

Too Good To Go is seeking a Data Analyst for the Parcels Planning team in Denmark. You will support commercial planning, forecasting, latest estimates and performance modelling, using statistical techniques and AI-assisted workflows to turn data into actionable insight.

You’ll collaborate with the Commercial Planning Manager, maintain reporting outputs and investigate movements across countries, categories and partners, helping deliver clearer, data-driven recommendations.

Qualificações

• Experience in commercial analysis, planning analysis, data analysis with forecasting or modeling.
• Experience using AI tools to support analytical workflows and generate SQL or Python.
• Strong Excel or Google Sheets skills with large datasets.
• Experience using BI tools (Looker, Looker Studio, Tableau, Power BI).
• Strong analytical thinking and understanding of statistics; distinguish descriptive vs causal drivers.
• Comfortable with KPIs like revenue, margin, demand, orders, conversion, AOV, pricing, forecast accuracy, inventory.
• Attention to detail in forecast, budget, latest estimate and reporting.
• Knowledge of regression, hypothesis testing, confidence intervals, time series or forecasting methods.
• Clear communication and ability to explain analysis simply.
• Structured, reliable, able to manage regular reporting and ad hoc analysis.
• Curiosity, ownership and ability to handle messy data.

Responsabilidades

• Support monthly latest estimate process with data, analysis and reporting.
• Maintain planning and reporting across sales, demand, revenue, margin, orders, AOV.
• Prepare analyses to explain performance movements, risks and opportunities.
• Use AI tools to accelerate analysis and automate repetitive tasks.
• Support budget and forecast cycles with input gathering and data cuts.
• Run ad hoc analyses for commercial and operational questions.
• Identify where assumptions work or not and where further investigation is needed.
• Collaborate with BI Developer to use trusted datasets and translate findings into recommendations.
• Move team toward repeatable and scalable data workflows.
• Ensure data quality and spot inconsistencies before planning outputs.

Conhecimentos

Commercial analysis

Forecasting

Statistical analysis

Excel/Sheets

BI tools

AI tools for analytics

SQL/Python automation

Communication

Time series analysis

Data storytelling

Ferramentas

Looker

Looker Studio

Tableau

Power BI

Excel

SQL

Python

Descrição da oferta de emprego

Mission: At Too Good To Go, we have an ambitious mission: to inspire and empower everyone to fight food waste together. More than 1/3 of all food produced in the world is wasted, which has a huge impact on our planet - 10% of greenhouse gas emissions, to be exact.

Product: Too Good To Go operates the world's largest marketplace for surplus food, where we connect food businesses with consumers who can buy and enjoy it at 50 %+ off retail value. Alongside our app, we create educational tools, operate an end-to-end surplus food management solution, and influence legislation to help reduce food waste.

Scale: We’re growing fast: Our community of 133 million registered users and 261,000+ active partners across 20 countries, have together already saved 517+ million meals from going to waste - avoiding over 1.4M tonnes of CO2e from entering the Earth’s atmosphere!

Impact: We are a certified B Corp social impact company. Too Good To Go was named in Fast Company's list of the World's Most Innovative Companies and World Changing Ideas. We are also honoured to be included in TIME’s 100 Most Influential Companies. Most recently, we won Apple’s coveted Cultural Impact Winner.

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.

Our values

• We win together: Food waste is a big beast to fight. We believe in a #oneteam.
• We raise the bar: We always push for more. We work smart, smash barriers and elevate one another.
• We keep it simple: Our ambitions are bold but our solutions are simple.
• We build a legacy: We’re proud of the change we’re driving.
• We care: We always look out for each other. Caring is also about the way we do business. We do the right thing.

Benefits

• Flexible Work & Time Off
• Enjoy hybrid working from our great offices, at home or abroad
• Extra parental leave and days off beyond local legislation and the option to take an extra week of unpaid leave
• Health insurance and pension plans (subject to country of employment
• Additional days off for significant life events
• Connection & Community
• Regular social events like summer and winter parties
• Coffee, snacks and fully-equipped kitchens
• Get to know our community with a monthly free Surprise Bag
• Paid volunteer time through our Shareback volunteering programme
• Get involved and connect with our teammates around the world in our P.R.I.D.E., Women in the Workplace, Global Majority Voices, and Functionally Diverse Employee Resource Groups (ERGs)

A Movement for EveryoneWe want to inspire and empower everyone to fight food waste together. With that mission, it’s only natural that we want to build a diverse and inclusive team of highly capable individuals who are passionate about doing things in a better way. We strongly believe we all excel and are more creative when we’re allowed to be ourselves, and we’re committed to a culture where all of us belong.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.