Stuart is a leading tech-enabled logistics platform that transforms on-demand delivery across sectors like food, grocery, and retail. Operating in over 130 cities across Europe, Stuart connects businesses with a network of independent couriers, providing access to fast, flexible, and efficient deliveries.

Our Mission 🚀 We are an impact-driven company that aims to build the future of logistics for a more sustainable world: shared, efficient and reliable. We are committed to creating a new standard for urban deliveries that meet today’s environmental and social challenges while offering a premium delivery experience blending speed, flexibility and convenience. Stuart is a highly diverse and inclusive company with employees from different nationalities and backgrounds working across France 🇫🇷, Poland 🇵🇱, Spain 🇪🇸 and the UK. 🇬🇧

It’s the right moment and the right place for us to make an impact on millions of people, as home delivery services hit a record high. And guess what? You can help us fulfil our vision 🙌

The role

Stuart is transforming last-mile delivery by connecting businesses to a fleet of geolocated couriers. Our platform offers versatile delivery solutions to some of the biggest brands out there. As we scale our business and tackle new challenges, we're seeking a talented Product Data Analyst to harness the power of data and help shape our products while driving business impact.

Hybrid working model: 3 days/week in our office located in Central Barcelona.

Work in an international, dynamic and passionate environment with a company culture focused on learning and development 🎉 Hybrid working model and flexible hours ✨

Current benefits include: Ticket Restaurant by Edenred (€11 daily) 🥗 Wellness Allowance (€40 monthly) to use in any gym or sport class 🧘 Private healthcare provided by Alan 🧑‍⚕️ Free monthly Bicing card 🚲 Parents-friendly environment - Monthly Childcare voucher Social activities and events (family day, regular community lunch, ceramic class, yoga, gardening class...) 🎈 Work-from-Anywhere policy (enjoy 30 days per year working from anywhere!) 🏞

2+ years of experience in data analytics or product analytics, with a track record of delivering impactful insights.  Proficiency in SQL and prior experience with Python for data analysis (e.g., pandas, numpy).  Familiarity with BI tools such as Tableau, Looker, Superset or similar.  Experience designing experiments and analyzing outcomes to support data-driven decisions.  Proven ability to define and track meaningful metrics for product and business performance.  Strong communication skills in English, both written and spoken, and able to present findings to technical and non-technical audiences.