Internship - Data Analyst / Analytics Engineer

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.

You'll work hand in hand with Marie-Sophie, Head of Data at OVRSEA. Your missions:

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

• 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)

• 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 ! 🙌