Product Data Analyst

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.

What will I be doing?

• Perform in-depth analyses of product performance and customer behavior to uncover actionable insights.
• Design and execute experiments, analyzing results to guide decision-making and validate hypotheses.
• Define, implement, and monitor key metrics to measure product success and operational efficiency.
• Build and maintain dashboards and reports to empower stakeholders with accessible insights.
• Support cross-functional teams (Product, Finance, Operations) by delivering tailored analyses aligned with business objectives.
• Leverage SQL and Python to process, interpret, and extract value from large datasets.

What do we need from you?

• 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.

The stuff you want to know

• 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)

At Stuart, we believe that employees today want to evolve in collaborative, high-growth environments where they can demonstrate their abilities and thrive both professionally and personally. We are convinced that employees need to find alignment between their inner values and their company's culture and mission to unlock their full potential. We work to create a culture of empowerment, continuous learning and growth where everyone can bring expertise, own projects and easily measure their impact.

Stuart is proud to be an equal opportunity workplace dedicated to promoting diversity. We don't discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status.

Please note: Our Talent Acquisition Team is international coming from across the world. We kindly ask you to please submit your CV and application in English so that it can be reviewed correctly (unless the job posting is in a language other than English). Thank you

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