Internship - Data Analyst / Analytics Engineer

OVRSEA; Paris; Sur place; EUR 12 000 - 16 000; Temps partiel

Avantages offerts par ce poste

Commuter benefits

Meal vouchers

Digital Swile card for interns

Résumé du poste

OVRSEA is seeking a Data Intern to help build analytics-ready data models using dbt and SQL, and to deploy company-wide dashboards in Sigma. You will contribute to one source of truth for key metrics and collaborate with cross-functional teams on data governance.

You will work on automating data tasks, explore AI-powered data workflows, and gain exposure to a fast-growing logistics tech environment in Paris. Fluency in French and English is required.

Qualifications

• Six-month internship starting December 2026 in Paris.
• Fluent in French and English (written and spoken).
• Familiarity with Sigma, Metabase, Tableau or similar BI tools.
• SQL proficiency and/or experience with dbt.

Responsabilités

• Create and maintain analytics-ready data models using dbt and SQL, with documentation and tests.
• Deploy and scale BI dashboards in Sigma for group-wide use, ensuring a single source of truth.
• Build and document the company context data layer with clear definitions and ownership.
• Collaborate with product, analytics, and AI teams to automate repetitive tasks and explore AI-assisted data workflows.

Connaissances

SQL proficiency

dbt

Git

Command line

Data modeling

Formation

Student from top business or engineering school (or equivalent)

Outils

Sigma

Metabase

Tableau

Description du poste

Our mission: to make international freight simpler and more sustainable through technology! Founded in 2017, OVRSEA is a next-generation freight forwarder that uses technology to simplify and optimize international transport for businesses. We support 700+ companies across 60 countries in their international freight shipments. In January 2026, OVRSEA merged with the Fatton Lyseo group. This large‑scale operation comes amid profound geopolitical, commercial, and technological shifts. Our ambition is clear: to build, through organic and external growth, a unified, agile, and sustainable French leader in logistics, capable of addressing new challenges in logistics control, operational performance, and technological disruption. This merger brings together, under a single group, cutting‑edge tech expertise, well‑established historical know‑how, and a dense network of locations across strategic geographies – with over 1,000 employees, 61 offices in 14 countries, and 120,000 m² of warehouse space – serving demanding clients in the luxury, pharmaceutical, cosmetics, and food industries. Joining our teams means taking part in building an independent, high‑performing, and innovative group.

The Data Team at OVRSEA

OVRSEA operates with a lean, centralized data team that serves as the single source of truth for all company data, from operational metrics to sales and financial information. We are at a pivotal moment: with the merger, the group is scaling from ~100 to over 1,000 people, across several entities and systems. The Data team's challenge is to scale data usage accordingly (more users, more entities, more tools) while keeping a single, reliable source of truth for every key business metric. The Data team's main objectives are to serve every team in the company and help them make data‑driven decisions. This includes:

• Fostering Data culture: encouraging data consumption and literacy across the organization
• Ensuring quality Data access: making reliable data easily accessible to everyone in the group
• Breaking Data silos: implementing centralized Data Governance to establish single sources of truth for key business metrics across entities
• Building Data infrastructure: maintaining robust data pipelines and systems that enable scalable analytics
• Bridging Product and Data: making sure the data we expose keeps pace with a fast‑evolving product. The product changes quickly, and the Data team must stay agile and adapt continuously.

Your missions inside the Data Team

• Creating and Maintaining Data models: Building transformed, analytics‑ready datasets using dbt and SQL, ensuring models are well‑documented, tested, and follow dbt best practices, implementing data quality checks and monitoring.
• Deploying and Scaling our BI Platform (Sigma): Building and organizing official, group‑level dashboards in Sigma, ensuring there is only one source of truth in Sigma for users: official, owned dashboards, with no duplicated metrics or competing versions of the numbers; monitoring performance and usage patterns.
• Building the Single Source of Truth for Company Context: Beyond the numbers themselves, creating the single source of truth for the company's business context: one metric = one definition, documented, owned, and shared across all entities. Structuring business knowledge (definitions, documentation, ownership) so that both humans and AI agents can rely on it; ensuring consistency between what the data says and how teams across the group understand and use it.
• Scaling the Data Team's impact through automation and AI: Working daily with AI coding tools (e.g. Claude Code), identifying repetitive or manual tasks within the data lifecycle and designing scalable automation solutions; building and experimenting with AI agents that streamline data workflows: model documentation, data quality monitoring, first‑line support to business users; contributing to AI‑powered self‑service experiences on top of our BI platform (e.g. text‑to‑insight), so business teams can explore data autonomously.

We’re meant to work together if

You are available for 6 months, starting as early as December 2026. You are a student from a top business or engineering school (or equivalent). We value the intersection of technical and business expertise. Excellent communication skills: you know how to bridge the gap between technical teams and business users, and can make data topics clear to both audiences.

• Rigorous: you care deeply about data quality. You go after edge cases, dig until the numbers are right, and deliver precise, reliable work.
• Familiarity with BI tools (Sigma, Metabase, Tableau, or similar)
• Basic development tools (Git, terminal, command line)
• SQL proficiency and/or experience with dbt
• Enthusiasm for AI tools: you’re curious about working with AI assistants and agents day‑to‑day
• Curiosity and strong desire to learn. You don't need to master all technical skills initially, but must have a strong willingness to learn.
• Fluent in French and English (both written and spoken)

Why join us at OVRSEA?

Be part of our team of ambitious and talented individuals who share our values: analytical thinking, quality execution, and a deep thirst for learning. Experience a personalized onboarding program, setting you up for success from day one. Work in a vibrant work environment and take on challenging projects, collaborating with other teams while enjoying a high level of ownership and autonomy.

• Benefit from commuter benefits and meal vouchers.
• For interns in France: Digital Swile card of 10€ per worked day (5,5€ paid by OVRSEA).
• Engage in exciting events, including weekly culture presentations (the famous OVRSEA “PICs”), learning sessions, team rituals, and great parties!

Recruitment process

First call with Marie‑Sophie, Head of Data, to introduce OVRSEA, discuss the internship, and learn about your expectations and motivations (30'). Live technical case study with our team (1h to 1h30). Final round/ Speed Recruiting: meet a colleague from another team and OVRSEA's CTO (1h). The final proposal!

At Ovrsea, we are committed to an inclusive recruitment process and to fostering diversity within our teams.