Data Analyst
- 4 million users in France, Belgium and Switzerland (soon in the UK and Spain)
- 2,000+ partner hotels among the best 4• , 5• and iconic palaces
- ☆ 9.3/10 average rating for our experiences
Key Responsibilities
Drive business impact through delivery:
- Lead and deliver end-to-end data projects aligned with team OKRs (Growth, Product, Sales, etc.).
- Perform advanced and complex analysis to support strategic decision-making across the company, including the development of performance dashboards.
Contribute to the evolution of our Modern Data Stack:
- Data modeling: Build and maintain data models in DBT to structure clean, reusable datasets.
- Data quality & alerting: Ensure data is reliable, accurate, and easily accessible across the organization.
- Data governance & privacy: Help implement best practices in data governance.
Collaborate with and support stakeholders:
- Work closely with teams across the company to foster a data-driven culture , through training and support on Metabase and our self-service data models.
- Translate complex findings into clear, actionable insights and communicate them clearly to non-technical audiences.
- Be fully onboarded to our data stack (DBT, Metabase, Snowflake, Fivetran...).
- Developed a solid understanding of the business model, key metrics, and team workflows.
- Delivered your first impactful analyses and operational dashboards used by business teams.
- Established strong, trust-based relationships with stakeholders from at least one key team (e.g. Growth, Product, Sales).
- Contributed to the maintaining or evolving a data model in DBT.
- Be recognized as a go-to expert on data for multiple teams , proactively involved in strategic discussions.
- Have led several cross-functional data projects from scoping to delivery, with measurable business impact.
- Significantly contributed to the evolution of our data models and data quality processes .
- Played a key role in structuring the team's methodologies , tooling, or documentation.
- Helped scale the data culture within Staycation (e.g. through SQL trainings, self-service tools).
- Be a driving force behind the continuous improvement of our data governance and reliability practices.
Why Join Us?
- Be part of a company that's genuinely improving people's everyday lives.
- Work in an innovative, opportunity-driven product organization.
- Collaborate closely with engineers and product managers to co-create smart, user-centered solutions.
- Have 3 years of experience as a Data Analyst.
- Have strong expertise in SQL , especially when it comes to handling complex data transformations.
- Are familiar with tools from the Modern Data Stack (e.g. Snowflake, DBT, Fivetran...).
- Have experience building advanced dashboards , ideally using Metabase.
- Have a strong analytical mindset and solid foundations in data analysis and statistics.
- Never compromise on data quality and reliability .
- Quickly understand stakeholders' business challenges and translate them into actionable insights.
- Know how to communicate findings to non-technical audiences in a clear and concise way.
- Proactive in your day-to-day work and eager to contribute to the development of the team and its best practices .
- You already have experience in a marketplace or scale-up environment
- Experience with Python and machine learning algorithms (e.g. regression, classification, clustering) is a strong advantage.
- You're curious about how AI can enhance data storytelling, automation, and decision-making, and maybe you've already played around with it.
- Intro call with Isabella, our People Lead (30 min).
- Manager interview with Hélène, our Data Lead (60 min).
- Live Technical Test with Hélène (60 min).
- Final meetings with Leadership team (60 min) and the team (30 min).
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