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, you'll 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.
The Role

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.

You'll 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.

You'll report directly to Hélène, our Data Lead, and collaborate daily with stakeholders across product, marketing, sales, and leadership.
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.

Key Results

In your first 3 months, you'll be expected to:

• 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.

In your first 12 months, you'll 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 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.

Location

This position is based in Paris, 20th district with a hybrid work setup.
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.

You're the ideal candidate if you:

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, 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.

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.
• You're curious about how AI can enhance data storytelling, automation, and decision-making, and maybe you've already played around with it.

Hiring Process

• 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).