Step out to the hotel.
Experiences to enjoy in the most beautiful hotels around you: for 24 hours, 48 hours, or just a few hours.
Hotels are often underestimated, even overlooked, by city residents. Yet, under their roofs, youâll find the most stunning spas, some of the finest restaurants, dream-worthy bedding, breathtaking views, and interiors that break from the ordinary.
Staycation was born from this realization, with one goal: to make hotels the new go-to city spots, just like the classic trio of cinema, exhibitions, and restaurants.
Today, Staycation means:
3.5 million users (with an average age of 30)
2,000+ partner hotels (4-5 stars and luxury destinations)
Experiences rated an average of 9.3/10 by our users
Joining Staycation means becoming part of a team passionate about reimagining the future of hospitality and urban living.
As Staycation continues to grow, data has become a central pillar of decision-making across all teams.
We're now looking for a Senior Data Analyst who will ensure that every decision at Staycation is grounded in reliable, well-structured, and actionable data.
Youâll play a central role in helping to structure the data team, leading strategic projects, and working closely with business teams to deliver high-impact insights.
Youâll report directly to HĂ©lĂšne, our Data Lead, and collaborate daily with stakeholders across product, marketing, sales, and leadership.
đ 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.
đ ïž 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.
đ€ 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.
In your first 3 months, youâll be expected to:
Be fully onboarded to our data stack (DBT, Metabase, Snowflake, FivetranâŠ).
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.
In your first 12 months, youâll be expected to:
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 teamâs 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.
This position is based in Paris, 20th district with a hybrid work setup.
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.
Must-haves
Have 5 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, FivetranâŠ).
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 stakeholdersâ 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.
Nice to have
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.
Youâre curious about how AI can enhance data storytelling, automation, and decision-making, and maybe youâve already played around with it.
Intro call with Isabella, our People Lead (30 min).
Manager interview with HélÚne, our Data Lead (60 min).
Live Technical Test with HélÚne (60 min).
Final meetings with Leadership team (60 min) and the team (30 min).
Ces entreprises recrutent aussi au poste de âData / Business Intelligenceâ.