As Wooclap grows, so do our data challenges. We’re expanding our team to better serve internal stakeholders and keep pushing the boundaries of what data can do for our product and our users. If you thrive in fast-paced, remote environments and love turning data into business value, we want to hear from you.

We’re looking for a Data Analyst Intern who’s not just a number cruncher, but someone who understands the business context behind the dashboards — someone who can identify leverage points and help our teams move faster and smarter.

You’ll join a fully remote team that values collaboration, transparency, and continuous learning. You’ll work closely with product, marketing, sales, and customer success teams to build impactful KPIs, improve our understanding of product usage, and proactively identify areas of improvement.

Our stack includes: AWS (S3, Athena, Glue), Airflow, Python, Metabase, Git, and Kubernetes. You don’t need to be an expert in all of it but you should be curious and eager to learn.

Skills you’ll develop during your internship

• Understanding of our data stack and how data flows from ETL to dashboards.

• Autonomy in managing small to mid-sized analysis projects.

• Ability to structure business problems and identify the right KPIs.

• Communication skills to share insights clearly with non-technical teams.

• Confidence in contributing to the evolution of our dashboards and enrichment processes.

• You’re comfortable using Python for data analysis (pandas, numpy, etc.).

• You have a solid foundation in SQL.

• You’re fluent in English and/or French.

• You have a learning mindset & are curious about cutting-edge technologies.

• You’re a good communicator and feel at ease working with non-technical teammates.

• You’re motivated, curious, and able to work independently in a remote setting.

Ideally, you’ll have:

• Project portfolio on Git or any other medium to share with us.

• Experience with BI tools like Metabase, Tableau, QuickSight, etc. or with dashboard development tools like Shiny.

• Some experience with the AWS environment, knowing the architecture of a data lake with S3/Glue/Athena is a plus.

• Familiarity with Airflow, Git, or version-controlled data workflows.

• An understanding of A/B testing and basic statistics.

• Interest in business topics — marketing, sales, user behavior, etc.

• A previous experience in machine learning.

• ☎️ 30’ Screening interview with our Recruitment Manager.

• 📈 60’ Tech/Business Case with our Data Team.

• 🤝 30’ interview with Christophe, our Head Of Engineering.