Financial Data Analyst

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

Imagine if there was something we could all change today that would reduce global warming by 8%. That's how much food waste contributes to the climate crisis, and yet we continue to waste 40% of all the food produced in the US.

We're saving 2 meals every second with our 2+ million daily users, more than 43 million registered, and more than a hundred thousand food retailers and restaurants! So far we've saved more than 88 million meals from going to the bin, all across Europe and North America, in 16 countries to date.

We're proud of what we've achieved so far, but did we mention the issue is huge? We are expanding our team as we speak. And that's where you come in:

We're looking for an exceptional Financial Data Analyst to join the Global superstar team at Too Good To Go in Copenhagen

Your mission

To continue to scale our impact at Too Good To Go, it is critical that we constantly evaluate where we want to go and how well we are meeting our goals. To achieve this, the Finance & Data Departments support a global quarterly forecasting exercise, provide visibility on expected vs. actual results, and support deep-dives into understanding performance. The Financial Data Analyst will be part of the Global Data team, working alongside a team of 9 other analysts and engineers based in Copenhagen, Madrid, and New York, to support and drive data-driven decision making for our most critical business problems

Your role

• Create support tools and maintain/improve the existing forecasting model in close connection with Finance
• Provide visibility for the management on planned business activities in our 16 countries on 2 continents through deep-dive analysis of the forecasting model
• Improve the visibility of how the organization is tracking within quarter through our business intelligence tool, Looker
• Drive continued performance improvement through ad-hoc analysis and simulation of country performance

Requirements

• At least 2 years of experience in analytical role
• Experience with analytical and quantitative problem solving and framing
• Experience with Excel and/or Google Sheets is a must
• Experience with SQL
• Experience with Python, R is a plus
• Exposure to financial modelling
• Ability to visualise and communicate findings from data
• Ability to own and coordinate cross-functional projects
• Wants to understand problems end-to-end
• Is technically curious
• Self driven within a defined problem space

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 1200+ enthusiastic and highly talented teammates across 15 countries – 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.