Data Analytics Engineer Intern, Customer Analytics

backmarket; Bordeaux; Sur place; EUR 11 160 - 16 740; Plein temps

Avantages offerts par ce poste

Mission-driven work environment

Hybrid work environment with remote days

Employee Resource Groups and mentorship programs

Résumé du poste

backmarket is looking for an Analytics Engineering Intern in Bordeaux to support data model development for customer acquisition. You will contribute to transforming raw tracking data into actionable insights, maintaining marketing data models, and ensuring API data reliability.

This full-time internship, starting July 2026, requires a Master's student in a relevant field with strong SQL skills. Join a hybrid work environment to make a meaningful impact!

Qualifications

• Currently pursuing a Master's degree or equivalent.
• Solid SQL skills and ability to write and review queries.
• Detail-oriented and methodical approach to data investigations.

Responsabilités

• Contribute to dbt models that transform raw tracking data into analytics-ready tables.
• Maintain marketing data models covering paid channels.
• Write data quality tests and checks for production models.

Connaissances

SQL skills

Understanding of GA4 / Amplitude event data

Detail-oriented

Communication in English

Formation

Master's degree in data engineering, data science, or a quantitative field

Outils

dbt

BigQuery

Cloud data warehouses

Google Ads API

Meta Ads API

Description du poste

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.

YOUR MISSION

• 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:
  1. You are familiar with BigQuery or cloud data warehouses
  2. You have exposure to paid marketing platform APIs such as Google Ads or Meta Ads
  3. You have deeper knowledge of dbt Core
  4. You are familiar with GCP ecosystems

INTERNSHIP DETAILS

• 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

BENEFITS

• 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