Senior Product Analyst (Pricing)

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. And that has a huge impact on the health of our planet. 10% of greenhouse gas emissions come from food waste and loss. Through our marketplace app, we connect businesses that have unsold, surplus food, with consumers who can buy and enjoy it at ⅓ of retail value. We are on a mission to empower everyone to take action against food waste: alongside our marketplace app, we create educational tools, explore new business solutions, and influence legislation to help reduce food waste. We’re growing fast: Our community of 120 million registered users and 180,000 active partners across 20 countries, have together already saved over 500 million meals from going to waste. We are looking for a Senior Product Analyst to join our Product Analytics and Center of Excellence team at Too Good To Go, embedded in our newly formed Pricing team in London . Your mission Pricing shapes what partners earn, what consumers pay, and how much surplus food gets saved. We are building our first dedicated Pricing team, and you will be its analytical lead, partnering closely with our Senior Product Manager for Pricing from day one. As a marketplace, our pricing challenges are shaped by supply-demand dynamics, partner economics, and consumer behavior . Demand is often capped by supply rather than price, so standard pricing playbooks rarely apply as they are. You will work on problems such as dynamic pricing, consumer service fees, partner base price recommendations, and Key Account pricing , across both the Partner and Consumer sides of our marketplace. Your goal is to make sure every pricing decision is grounded in rigorous measurement. That means saving as much surplus food as possible and growing value for Too Good To Go, our Partners, and our Consumers, rather than shifting value from one side to another.

Your role Partner with the Senior Pricing PM to shape the team's roadmap, size opportunities, and define the metrics that connect pricing changes to business outcomes

Lead discovery and deep dives on pricing problems such as: Evaluating and evolving our dynamic pricing logic, and identifying where it under- or over-discounts

Understanding how consumer service fees affect revenue, conversion, retention, and meals saved

Developing price recommendations for partners, from onboarding through to Key Account deals

Design and evaluate pricing experiments, including multi-variant and dose-response tests, with statistically sound setup, power analysis, and clear decision criteria

Apply quasi-experimental methods (e.g. matched controls, difference-in-differences) where randomization isn't possible, and replace before-after reads with reliable measurement of incremental impact

Build our understanding of price response in a supply-constrained marketplace, and translate short-term effects into long-term outcomes such as retention, meals saved, and GMV

Define tracking and instrumentation requirements so that pricing experiments measure what they are intended to measure

Enable the Pricing team and stakeholders to self-serve pricing performance through clear, accurate dashboards in Amplitude and Looker

Collaborate closely with Data Scientists in the Center of Excellence on modeling, and with Finance, Commercial, and Key Accounts teams on pricing decisions that reach beyond the product

Communicate findings and recommendations clearly to senior stakeholders, including the Global Management Team

Take end-to-end ownership, from problem framing through to experiment readouts and impact evaluation

Tech Stack Our analyses are written in SQL and Python, on data stored in Redshift and modeled with dbt. Amplitude is our source of truth for in-app event data, funnels, and experimentation readouts, and Looker for cross-domain, partner, and financial reporting. We actively use AI tools in our day-to-day analytical work.

Requirements Degree educated within a quantitative field (e.g. Statistics, Economics, Mathematics, Computer Science, or equivalent)

Solid experience in product analytics, data science, or a similar analytical role, with a track record of influencing product decisions through data

Proven experience building analytics foundations from scratch, such as metrics frameworks, experimentation practices, and reporting, for a new product area or team

Strong SQL and Python skills for analysis and statistical work

Hands-on experience designing and evaluating A/B tests, including power analysis, metric selection, and guardrails

Experience with causal inference or quasi-experimental methods when A/B testing isn't feasible

Experience in at least one of the following areas: Pricing, monetization, or fee structures

Marketplace or two-sided platform dynamics

Experimentation at scale

Ability to operate in ambiguous problem spaces and translate them into structured, measurable analyses

Strong communication skills, with the ability to influence product, commercial, and senior leadership stakeholders

High ownership and comfort working in a fast-paced, evolving environment, including helping shape a new team

Comfortable using AI tools to accelerate analysis and insight generation

Fluent in English, with excellent written and verbal communication skills

Bonus: experience with dbt, Amplitude, or Looker; price elasticity or demand modeling; and mentoring other analysts

Our values : We Win Together

We Raise the Bar

We Keep It Simple

We Build A Legacy

We Care

What we have to offer A rare opportunity to work in a social impact company where you can see real and tangible impact in your role.

Working alongside an international community of users, partners and 1,200+ colleagues across 20 countries that are on the same important mission.

Personal and professional development opportunities in a fast-paced scale-up environment.

An inclusive company culture where you can bring your authentic self to work

A strong, values-driven team culture where we celebrate successes and socialise with colleagues that care.

Benefits WORK FLEXIBLY: 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

CELEBRATE & SOCIALISE 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

Women in the Workplace, P.R.I.D.E., People of Colour and Functionally Diverse Employee Resource Groups

How to apply We take recruitment very seriously, so please carefully read everything we have written above. Please also check our website and international media in order to get a good overview of Too Good To Go.

Submit your CV in English.

Please note that we only accept applications coming through our platform. No CV or Cover Letter will be accepted by email or LinkedIn direct messaging.