Stage - Analytics Engineer Data Collab

Data Analyst Intern

Numberly is recognized as one of the world's leading specialists in data marketing with nearly 500 employees and 11 offices worldwide serving more than 300 leading clients (L'Oréal, Arte, Groupe Seb, Pernod Ricard, SNCF, Aigle, HSBC..).

By putting technology at the service of brands and consumers, Numberly is at the heart of the growth of companies and the aspiration of everyone for a more responsible and relevant marketing.

Numberly relies on the latest advances in data processing, analysis, and media activation in a virtuous context that combines competitiveness of companies and strengthened respect for privacy and data protection.

Job Description

In a context of inequality in data ownership, brands must organize, accelerate on the digital and make their data heritage an asset of their sovereignty. To do this, we accompany our clients in the deployment and realization of data partnership strategies. In practice, we play the role of a trusted third party between several entities by accessing the data of a company to improve the customer and market knowledge of a brand that has little.

Working alongside a project manager and three analytics engineers, your missions within the "Data Collab" team will be multiple:

• Understanding the client's needs and reporting: Understand the client's needs, objectives, and the data made available, then present the results and deliverables to clients and internally.
• Technical implementation of studies: Technically implement studies in several stages, from data cleaning to visualization or modeling.
• Automation of studies and creation of tools: Automate studies and dashboards, create low-code or no-code tools to facilitate the use of data, for example a tool for counting consumption by brand.

At the intersection between data analyst, data scientist, and data engineer, your role will be to transform raw data into exploitable information to help your colleagues make decisions.

The team's stack:

• Google Cloud Storage
• Amazon Web Services
• Microsoft Suite (SSMS, SSIS, SSRS, Power BI)
• Hdfs
• Git / CICD
• Airflow
• Kubernetes

Internship of 6 months starting in August 2026.

Remuneration: 1400 € gross monthly in M1 and 1700 € gross monthly in M2.

Qualifications

- Engineering curriculum with specialization or experience in analysis or data science

- Strong analytical skills, taste for numbers and data

- Essential interest in a complex and dynamic ecosystem

- Curiosity, rigor, and convictions are essential

- Ability to work in a team with people from very different profiles

- Competence / appetite for data visualization

- Written and spoken English

Tools

- Knowledge of programming languages (Python, PySpark…)

- Knowledge of REST APIs

- Knowledge of database querying (SQL,...)

- Mastery of data visualization tools would be a plus

Additional Information:

• At Numberly, we share a passion for transmission: weekly internal talks, meetings with professionals experts in their field, continuous learning.
• A fast and powerful onboarding, especially thanks to our interactive e-learning platform, to see my life in different teams; to the Happy Meetings: monthly internal meetings to meet with all our teams in the world and share the news of the group.
• We cultivate the freedom of speech that allows everyone to participate in the development of the group.
• We act positively on our ecosystem through 1000mercis impacts and through our activities that create value in the Open Internet and contribute to the enrichment of the Open Source.
• Numberly is an actor of diversity and Gender Equal by design (Gender Equity score of 97/100).
• Numberly is certified ISO/IEC 27001:2023; this certification recognizes the respect of the highest standards in terms of information security.
• We evolve in an international environment with more than 30 nationalities in our teams.
• Offices that reflect each of the teams, a generous library, a fully equipped music studio, two cats, vermicomposting, the possibility of coming with your pet and space for bicycles! In each kitchen: coffee, tea, infusions at will and also mystery lunches.
• Wellpass subscription (ex-Gymlib), sports classes, and parties (often in costume).
• Possibility of remote work.
• Swile card (vouchers).
• Numberly welcomes people with disabilities (100% remote work possible, post adjustment...).