Data Partner H/F

Company Description

Born in France in 2006, Voyage Privé has grown from an ambitious startup into becoming the Europe's leading travel tech platform. Operating across 9 markets with tens of millions of users, we're not just another e-commerce success story - we're a tech powerhouse revolutionizing online travel.    

As a mission-driven company, we're unique in combining cutting-edge technology with social impact. Our innovative campus brings together tech talent, professional athletes, students, and artists, creating an ecosystem where digital innovation drives both business growth and positive change.    

We're now at an inflection point, upgrading our entire technical foundation with cloud architecture, AI, and real-time systems to become a reference and top-of-mind platform for luxury travel, known by travelers for its for excellent offer and customer experience, and by our providers as a high-performance business development partner.    

Why Join Us?  

• Work at the intersection of cutting-edge technology and a mission-driven company, transforming how millions experience travel.  

• Be part of an entrepreneurial team of innovators that isn't just building technology: we value innovation, ownership, and collaboration, with an emphasis on empowering engineers to make a difference.  

• Shape a fast-growing tech company as we embark on an ambitious plan to scale tenfold in the next decade.  

• Fast-paced, innovative environment with a real impact on high-end travel experiences. 

• A chance to lead security efforts at a strategic and operational level. 

• Direct visibility with the CDO and ExCom, shaping the future of security in a dynamic industry. 

• A collaborative, tech-driven culture that values security as a business enabler. 

• Enjoy a workplace that invests in personal and professional development, offering learning programs, mentorship opportunities, and career growth pathways.

Job Description

The Data Partner is a business-driven, analytic-minded, data expert, who is fully integrated into the domain squad (alongside PMs, Engineers, and Business Representatives). They proactively identify improvement opportunities, unblock data friction points, and deliver fast, reliable insights that fuel growth, efficiency, and value. 

The Data Partner is constantly scanning for untapped revenue streams, unaddressed challenges, and information gaps, then leveraging data insights to tackle them. By blending deep analytical know-how with a forward-looking business mindset, the Data Partner ensures that every decision in the domain is grounded in actionable intelligence. 

This role is not a passive responder to requests, but a proactive contributor who understands and impacts the domain strategy, anticipates business questions, and drives the analytical agenda. Working closely with Analytics Engineers and the Data Platform Team, the Data Partner also helps define and evolve the data model to ensure analytics is scalable, consistent, and aligned with business priorities. Additionally, in collaboration with Data Scientists, they proactively identify opportunities for domain-specific algorithms, advanced analytics, and data-driven innovations that deliver incremental business value. 

Key responsibilities 

Drive the data agenda in the domain 

• Develop a deep understanding of the domain’s business goals, workflows, customer interactions, and operational levers. 

• Proactively propose and execute analytics projects that improve decision-making, uncover hidden opportunities, or resolve performance bottlenecks. 

• Stay ahead of business needs; surface insights before they’re asked for. 

Deliver high-impact analysis & dashboards 

• Own end-to-end analysis cycles—from framing questions, gathering requirements, and querying data, to presenting actionable recommendations. 

• Implement, and monitor domain-specific A/B tests, ensuring rigorous methodology, reliable tracking, and clear interpretation of results to drive impactful business decisions. 

• Design and maintain domain-specific dashboards and metrics, ensuring clarity, trust, and usability. 

• Prioritize work based on business impact, not just request volume. 

Influence and co-own the data model & semantic layer 

• Collaborate with Analytics Engineers to ensure both data models and the semantic layer reflect current business logic, metrics are consistent, and source tables are usable and documented. 

• Identify gaps or inconsistencies in the data model or semantic layer that block insight generation and work wit