Product Data Analyst

At Too Good To Go, we dream of a planet with no food waste.

We can all do our part in fighting food waste and do our bit to tackle climate change by reducing the amount of food wasted.  Did you know that more than one-third of all food produced gets thrown away? This unnecessary food waste equates to 10% of greenhouse gas emissions!

Too Good To Go is a food waste-fighting app and a certified B Corporation. We connect stores that have unsold, surplus food with consumers who buy and enjoy it. We save more than two meals every second and have over 2 million users opening the app every day across 17 countries in Europe, the US and North America. Through our app, we have saved more than 132 million meals from going to waste. We are super proud of this, but there is still lots more that we want to achieve.

We are looking for an experienced and technical Product Analyst to join our team!

Your mission

At Too Good To Go we interact with our users and partners through product teams dedicated to our consumer apps and our partner platform. As a Product Analyst your mission is to provide analytical and product expertise to ensure that we are continuously delivering value to our customers and the business. You will analyze large volume data sets in order to deliver high-level insights and actionable recommendations. Acting as a bridge between the models, operations, products and business decisions, you will be expected to know how to build strategies by connecting them.

Your role

• Communicate actionable insights clearly across the organization highlighting the “so-whats” of the analyses in order to help product teams make the right data-driven decisions
• Ensure tracking across platforms
• Explain complex topics simply
• Form hypotheses about users, our product and features
• Work with formulating, and running experiments across platforms
• Use Amplitude and our SQL warehouse to enable decision making for product teams
• Work with multiple product teams and product managers to drive business impact

Requirements

• Previous experience in a data related product role, i.e. Product or Data Analyst
• Exposure to working with digital consumer facing products
• Experience working in SQL (Python or R is a plus)
• Experience with Amplitude, Mixpanel or similar is a plus
• Experience with Looker, Tableau, Metabase or similar is a plus
• Sound knowledge of conducting experiments and forming hypotheses
• Full professional proficiency in English
• Technical curiosity - we want you to be comfortable asking questions - we encourage a mindset to ‘dig deeper’

Our values

• We fight together: food waste is a big beast to fight. We can do it if we fight together as Waste Warriors with no ego. 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.

What we have to offer

• A rare opportunity to work in a social impact company (and certified B Corporation!) where you get to wake up every day knowing you’re achieving positive change.
• The experience of being part of an international company with 1350 + enthusiastic and highly talented teammates across 17 countries (and counting) – always ready to share knowledge and support!
• Strong personal as well as professional development in an intense and high-growth scale-up environment.
• An open company culture where you have the independence and room to unleash your creativity.
• A strong team culture where successes are celebrated together.

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 and Cover letter 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.

Job Ref: #LI-AS1