Data Analyst Intern — Ops Excellence

💙 About Bigblue

E-commerce is booming — but independent brands still struggle to match the seamless logistics of giants like Amazon. At Bigblue, we're on a mission to change that. We help brands by democratizing best-in-class operations: scaling faster while delivering a five-star customer experience.

Since 2018, we've built a tech-driven logistics platform powering 500+ brands — from fast-growing DTC players to global names like MUJI, Aigle, and Cabaïa. With 110+ employees across Paris, Madrid, and London, our proprietary WMS (Warehouse Management System) Atlas, and a network of 7 warehouses across Europe, we're solving logistics challenges that others haven't dared to tackle — making fulfillment faster, smarter, and greener.

Backed by $20+M in funding and trusted by the next generation of e-commerce leaders, we're scaling rapidly — from 10 million orders in 2024 toward ambitious enterprise expansion. The journey ahead is bold, and we're looking for the right partner to help us lead the way.

📊 What data means for Bigblue

At Bigblue, data is the backbone of how we operate. Our warehouse network generates millions of events every day — picks, shipments, returns, inventory movements — and it's our data infrastructure that makes sense of it all. Built on BigQuery and dbt, surfaced through Metabase and Atlas, our data platform is what allows us to move fast and operate reliably at scale.

As we expand across Europe, keeping this infrastructure robust, scalable, and trustworthy is one of our most critical challenges. The Ops Excellence team plays a key role in that mission: engineering the data layer that powers every operational decision we make.

Location: Paris — 7 rue Caumartin, 75009

Type: End-of-studies internship or gap year (SFE / césure)

Duration: 6 months

Start: ASAP

Bigblue is looking for a Data Analyst Intern to join the Ops Excellence team.

This is a hands-on engineering role at the core of our data infrastructure. You won't just work with data — you'll help build and maintain the pipelines, models, and systems that make data accessible and reliable for our entire Ops organization. This is a unique opportunity to contribute to production-grade data systems in a fast-moving logistics scale-up.