Data Analyst (Data Partner) – m/f/d

Voyage Privé
Hybrid

About The Position

As a Data Partner, you’ll play a key role in shaping the future of your domain squad. You’ll work closely with Product Managers, Engineers, Designers, and Business Representatives to deliver measurable impact and help us scale efficiently. Your key responsibilities will include: Lead the data agenda in your domain to drive business decisions, uncover hidden opportunities, and resolve performance bottlenecks. Collaborate with Analytics Engineers, Data Scientists, and the Data Platform team to ensure scalable, consistent, and actionable analytics. Analyze and optimize domain-specific processes, dashboards, and metrics for continuous improvement and clarity. Ensure high quality and operational excellence across data models, semantic layers, and analytics delivery. Proactively identify opportunities for advanced analytics, domain-specific algorithms, and data-driven innovations. Promote a culture of data literacy and decision-making within the domain.

Requirements

  • Proven experience of 5+ years in data analytics, business intelligence, or strategy, ideally embedded in product or business teams.
  • Solid understanding of SQL, BI tools (Tableau, Looker, Power BI, Metabase), and data modeling concepts.
  • Excellent problem-solving and analytical skills.
  • Strong communication and collaboration abilities; able to translate strategic goals into actionable insights.
  • Comfortable in a fast-paced, high-growth environment.
  • Data-driven, structured, and always looking for ways to improve.
  • Communicate well in English and French.

Responsibilities

  • Lead the data agenda in your domain to drive business decisions, uncover hidden opportunities, and resolve performance bottlenecks.
  • Collaborate with Analytics Engineers, Data Scientists, and the Data Platform team to ensure scalable, consistent, and actionable analytics.
  • Analyze and optimize domain-specific processes, dashboards, and metrics for continuous improvement and clarity.
  • Ensure high quality and operational excellence across data models, semantic layers, and analytics delivery.
  • Proactively identify opportunities for advanced analytics, domain-specific algorithms, and data-driven innovations.
  • Promote a culture of data literacy and decision-making within the domain.

Benefits

  • Access to our large on-site fitness center
  • Private padel court
  • Company Breaks, Carnival, Annual Convention, meetups and talks
  • Free tickets to every Provence Rugby home match
  • Live music nights at the Dalida Institute
  • Up to 20% off exclusive getaway offers
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