Data Analytics Engineer Intern, Customer Analytics

HI, WE’RE BACK MARKET. We’re here to help make tech reliable, affordable, and better than new. We're a global marketplace for refurbished devices, helping lower our collective environmental impact by providing trustworthy, affordable tech with 92% less carbon emissions than new. Yep, you read that right. Turns out refurbished tech is way better for the planet than new. In fact, With every device purchased on Back Market, our positive impact on the planet grows. From our Customer Care representatives to our software engineer, every individual at Back Market cuts the planet — and consumers — a break. Our mission is simple: to do more with what we already have. Are you ready to join us? Back Market is on a mission to make refurbished tech the new norm. To achieve this, data is at the core of how we understand our customers, optimize acquisition channels, and make smarter growth decisions. Within the Data Division, the Customer Analytics Department helps structure, model, and expose reliable data to teams across the business. As an Analytics Engineering Intern in the Customer Acquisition scope, you will support the Analytics Engineering team in building and improving the data models that power marketing and acquisition insights. You will work with tracking and marketing data, from raw spend, click, impression, and event data retrieved through marketing platforms and analytics tools, all the way to clean, analytics-ready datasets used by marketers and analysts. This internship is a great opportunity for a rigorous, data-curious student who wants to build a strong foundation in modern data stacks, analytics engineering, and marketing analytics. YOUR MISSION (IF YOU ACCEPT IT): 🥇 - Contribute to dbt models that transform raw tracking data from GA4 / Amplitude event exports into clean, analytics-ready tables - Maintain and improve marketing data models covering paid channels such as paid search, paid social, and affiliates - Support the reliability of marketing platform API data, including spend, clicks, and impressions from platforms such as Google Ads and Meta - Write data quality tests and checks to detect regressions, schema changes, or inconsistencies in production models - Help maintain data dictionaries, metric glossaries, and documentation connecting business KPIs to analytics models - Work closely with Acquisition, Performance Marketing, Data, and Product stakeholders to translate measurement needs into reliable data model requirements - Participate in Analytics Engineering team rituals, including planning, reviews, and async documentation YOU ARE IN THE RIGHT PLACE IF: ⭐ - You are pursuing a Master’s degree, or equivalent, in data engineering, data science, or a quantitative field with a strong analytics component - You have solid SQL skills and are comfortable writing and reviewing queries, models, and metrics - You understand, or are eager to learn, how GA4 / Amplitude event data is structured - You have a basic understanding of dbt concepts, or are motivated to learn about models, tests, documentation, and incremental runs - You are interested in marketing analytics and customer acquisition topics - You are detail-oriented, methodical, and patient when investigating model inconsistencies or data gaps - You communicate clearly in written and spoken English - You are autonomous and comfortable working with both technical and non-technical stakeholders - Bonus points if: - you are familiar with BigQuery or cloud data warehouses - you have exposure to paid marketing platform APIs such as Google Ads or Meta Ads - you have deeper knowledge of dbt Core - you are familiar with GCP ecosystems ABOUT THE INTERNSHIP ℹ️ - Starting date: July 2026 - Duration: 6 months - Schedule: Full-time (35H/week) - Location: Bordeaux, France - Contract: internship agreement (convention de stage) provided by your French school is required RECRUITMENT PROCESS: - Video-call Interview with the Talent Acqusition team member (30min) - Video-call Techni...