Data Analytics Engineer Intern, Customer Analytics

Analytics Engineering Intern – Customer Acquisition

As an Analytics Engineering Intern in the Customer Acquisition scope, you will support the analytics engineering team in building and improving data models that power marketing and acquisition insights, working with tracking and marketing data from raw spend, click, impression, and event data to clean, analytics-ready datasets used by marketers and analysts.

• 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 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 Big Query 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

• Starting date:
  July 2026
• Duration: 6 months
• Schedule:
  
  Full-time (35 hours/week)
• Location:
  
  Bordeaux, France
• Contract:
  
  Internship agreement required; convention de stage provided by your French school is required

• A mission-driven work environment where your day-to-day work has an impact on the planet
• Hybrid work environment, with 2 remote days a week and 1 remote work week per quarter, plus 3 flex days
• Employee Resource Groups, mentorship programs, comprehensive accessibility policies, and cultural competency training