<h2>Hi, we’re Back Market.</h2>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.<div style="margin-top:0;margin-bottom:0;"> </div>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.<div style="margin-top:0;margin-bottom:0;"> </div>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.<h2>YOUR MISSION (IF YOU ACCEPT IT): 🥇</h2><ul style=""><li>Contribute to dbt models that transform raw tracking data from GA4 / Amplitude event exports into clean, analytics-ready tables</li></ul><ul style=""><li>Maintain and improve marketing data models covering paid channels such as paid search, paid social, and affiliates</li><li>Support the reliability of marketing platform API data, including spend, clicks, and impressions from platforms such as Google Ads and Meta</li><li>Write data quality tests and checks to detect regressions, schema changes, or inconsistencies in production models</li><li>Help maintain data dictionaries, metric glossaries, and documentation connecting business KPIs to analytics models</li><li>Work closely with Acquisition, Performance Marketing, Data, and Product stakeholders to translate measurement needs into reliable data model requirements</li><li>Participate in Analytics Engineering team rituals, including planning, reviews, and async documentation</li></ul><h2>YOU ARE IN THE RIGHT PLACE IF: ⭐</h2><ul style=""><li>You are pursuing a Master’s degree, or equivalent, in data engineering, data science, or a quantitative field with a strong analytics component</li><li>You have solid SQL skills and are comfortable writing and reviewing queries, models, and metrics</li><li>You understand, or are eager to learn, how GA4 / Amplitude event data is structured</li><li>You have a basic understanding of dbt concepts, or are motivated to learn about models, tests, documentation, and incremental runs</li><li>You are interested in marketing analytics and customer acquisition topics</li><li>You are detail-oriented, methodical, and patient when investigating model inconsistencies or data gaps</li><li>You communicate clearly in written and spoken English</li><li>You are autonomous and comfortable working with both technical and non-technical stakeholders</li><li>Bonus points if: <ul style=""><li>you are familiar with BigQuery or cloud data warehouses</li><li>you have exposure to paid marketing platform APIs such as Google Ads or Meta Ads</li><li>you have deeper knowledge of dbt Core</li><li>you are familiar with GCP ecosystems</li></ul></li></ul><h2>ABOUT THE INTERNSHIP ℹ️</h2><ul style=""><li>Starting date: July 2026</li><li>Duration: 6 months</li><li>Schedule: Full-time (35H/week)</li><li>Location: Bordeaux, France</li><li>Contract: internship agreement (convention de stage) provided by your French school is required</li></ul><h2>RECRUITMENT PROCESS:</h2><ul style=""><li>Video-call Interview with the Talent Acqusition team member (30min)</li><li>Video-call Technical fit interview : Live technical discussion with the tutor (45-60min)</li><li>Video-call Team fit interview with one or two other members of the team (30min)</li></ul><h2>WHY SHOULD YOU JOIN US ? ✌🏼</h2>At Back Market, we’re committed to hiring and supporting diverse teams of people from all backgrounds, experiences, and perspectives — it’s one of the reasons we’re such a high-scoring certified B Corp company (93.2).No matter your role and seniority level, you’ll enjoy impact-driven work with hands-on career development in an innovative, driven, and fast-paced environment — with benefits to match, like:- A mission driven work environment where your day to day makes an impact on the planet. Seriously.- Hybrid work environment, with 2 remote days a week and 1 remote work week per quarter, plus 3 flex days.- Employee Resource Groups, including mentorship programs, comprehensive accessibility policies, and cultural competency training.At Back Market, we strive to create a workplace that embodies the world we’re trying to change. We’ve embedded our diversity, equity, and inclusion principles into our DNA — from dedicated staff to employee resource groups to our company values.We know that the perfect background for a role doesn’t mean the perfect fit — we encourage you to apply for a role even if you think you may not have all the qualifications.If reasonable accommodations are needed for the interview process, please do not hesitate to discuss this with the Talent Acquisition Team.

Back Market has created a marketplace to connect companies that restore used gadgets with consumers through a one-stop shopping experience, complete with warranties and customer service. While the company has seen meteoric growth, particularly since its expansion in the U.S., overall sales of used gadgets remain small compared to those of brand-new devices.

Data Analytics Engineer Intern, Customer Analytics

<h2>Hi, we’re Back Market.</h2>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.<div> </div>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.<div> </div>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.<h2>YOUR MISSION (IF YOU ACCEPT IT): 🥇</h2><ul><li>Contribute to dbt models that transform raw tracking data from GA4 / Amplitude event exports into clean, analytics-ready tables</li></ul><ul><li>Maintain and improve marketing data models covering paid channels such as paid search, paid social, and affiliates</li><li>Support the reliability of marketing platform API data, including spend, clicks, and impressions from platforms such as Google Ads and Meta</li><li>Write data quality tests and checks to detect regressions, schema changes, or inconsistencies in production models</li><li>Help maintain data dictionaries, metric glossaries, and documentation connecting business KPIs to analytics models</li><li>Work closely with Acquisition, Performance Marketing, Data, and Product stakeholders to translate measurement needs into reliable data model requirements</li><li>Participate in Analytics Engineering team rituals, including planning, reviews, and async documentation</li></ul><h2>YOU ARE IN THE RIGHT PLACE IF: ⭐</h2><ul><li>You are pursuing a Master’s degree, or equivalent, in data engineering, data science, or a quantitative field with a strong analytics component</li><li>You have solid SQL skills and are comfortable writing and reviewing queries, models, and metrics</li><li>You understand, or are eager to learn, how GA4 / Amplitude event data is structured</li><li>You have a basic understanding of dbt concepts, or are motivated to learn about models, tests, documentation, and incremental runs</li><li>You are interested in marketing analytics and customer acquisition topics</li><li>You are detail-oriented, methodical, and patient when investigating model inconsistencies or data gaps</li><li>You communicate clearly in written and spoken English</li><li>You are autonomous and comfortable working with both technical and non-technical stakeholders</li><li>Bonus points if: <ul><li>you are familiar with BigQuery or cloud data warehouses</li><li>you have exposure to paid marketing platform APIs such as Google Ads or Meta Ads</li><li>you have deeper knowledge of dbt Core</li><li>you are familiar with GCP ecosystems</li></ul></li></ul><h2>ABOUT THE INTERNSHIP ℹ️</h2><ul><li>Starting date: July 2026</li><li>Duration: 6 months</li><li>Schedule: Full-time (35H/week)</li><li>Location: Bordeaux, France</li><li>Contract: internship agreement (convention de stage) provided by your French school is required</li></ul><h2>RECRUITMENT PROCESS:</h2><ul><li>Video-call Interview with the Talent Acqusition team member (30min)</li><li>Video-call Technical fit interview : Live technical discussion with the tutor (45-60min)</li><li>Video-call Team fit interview with one or two other members of the team (30min)</li></ul><h2>WHY SHOULD YOU JOIN US ? ✌🏼</h2>At Back Market, we’re committed to hiring and supporting diverse teams of people from all backgrounds, experiences, and perspectives — it’s one of the reasons we’re such a high-scoring certified B Corp company (93.2).No matter your role and seniority level, you’ll enjoy impact-driven work with hands-on career development in an innovative, driven, and fast-paced environment — with benefits to match, like:- A mission driven work environment where your day to day makes an impact on the planet. Seriously.- Hybrid work environment, with 2 remote days a week and 1 remote work week per quarter, plus 3 flex days.- Employee Resource Groups, including mentorship programs, comprehensive accessibility policies, and cultural competency training.At Back Market, we strive to create a workplace that embodies the world we’re trying to change. We’ve embedded our diversity, equity, and inclusion principles into our DNA — from dedicated staff to employee resource groups to our company values.We know that the perfect background for a role doesn’t mean the perfect fit — we encourage you to apply for a role even if you think you may not have all the qualifications.If reasonable accommodations are needed for the interview process, please do not hesitate to discuss this with the Talent Acquisition Team.

Data Analytics Engineer Intern, Customer Analytics

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BackMarket

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