Location
London

Hours
Full Time

Salary
Negotiable

About the Role
At Too Good To Go, we have an ambitious mission: to inspire and empower everyone to fight food waste together. More than one third of all food produced globally is wasted, contributing to 10% of greenhouse gas emissions. Through our marketplace app, we connect businesses with surplus food to consumers who can buy it at one third of retail value. Alongside the app, we create educational tools, explore new business solutions, and influence legislation to reduce food waste. Our community of 120 million registered users and 180,000 active partners across 20 countries have already saved over 500 million meals from going to waste.

We are growing fast and looking for a Senior Product Analyst to join our Product Analytics and Center of Excellence team, embedded in our newly formed Pricing team in London. Pricing shapes partner earnings, consumer costs, and the amount of surplus food saved. As the analytical lead of the Pricing team, you will work closely with the Senior Product Manager for Pricing to tackle complex marketplace pricing challenges influenced by supply-demand dynamics, partner economics, and consumer behavior.

Your mission is to ensure every pricing decision is grounded in rigorous measurement to maximize surplus food saved and grow value for Too Good To Go, our partners, and consumers. You will lead discovery and deep dives into dynamic pricing logic, consumer service fees, partner price recommendations, and Key Account pricing. You will design and evaluate pricing experiments, apply quasi-experimental methods where randomization is not possible, and translate short-term price responses into long-term outcomes such as retention, meals saved, and gross merchandise value.

You will define tracking and instrumentation requirements, enable self-service pricing performance dashboards, collaborate with Data Scientists and cross-functional teams, communicate findings to senior stakeholders including the Global Management Team, and take end-to-end ownership from problem framing to impact evaluation.

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

Experience
- Degree educated in a quantitative field such as Statistics, Economics, Mathematics, Computer Science, or equivalent
- Solid experience in product analytics, data science, or a similar analytical role with a proven track record of influencing product decisions through data
- Proven experience building analytics foundations from scratch, including metrics frameworks, experimentation practices, and reporting for new product areas or teams
- 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 is not feasible
- Experience in at least one of the following areas: pricing, monetization, or fee structures; marketplace or two-sided platform dynamics; experimentation at scale

About you
- 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

Qualifications
- Bonus experience with dbt, Amplitude, or Looker
- Knowledge of price elasticity or demand modeling
- Experience mentoring other analysts