🔮 Data Analyst

Job Description

🍿 About Staycation

For most people, hotels are places you only visit when you travel.

But we see something different.

Behind their doors, hotels hide some of the most extraordinary spaces cities have to offer: breathtaking rooftops with skyline views, world-class spas and pools, bars and restaurants led by visionary chefs, interiors that spark the imagination, and beds so perfect you never want to leave them.

Yet, most of these spaces remain invisible to the people who live just a few streets away.

Staycation was born from a simple belief: the most inspiring places in your city shouldn’t be reserved for tourists. They should be part of your everyday life: an alternative to a date night at the restaurant, a spontaneous midweek escape, or a unique way to celebrate a special moment.

Our mission is to transform hotels into a new form of urban entertainment.

Places people turn to when they want to feel, connect or recharge. Whether it’s 24 hours, 48 hours, or just a few hours, we’re reinventing the way people experience the cities they call home.

Today, Staycation means:

  • 🌍 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

Joining Staycation means becoming part of a passionate, creative, and ambitious team on a quest to redefine what hospitality and city life can be.

✨ 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 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 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.

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 HĂŠlène, our Data Lead (60 min).

  • Live Technical Test with HĂŠlène (60 min).

  • Final meetings with Leadership team (60 min) and the team (30 min).

Additional Information

  • Contract Type: Full-Time
  • Location: Paris
  • Possible partial remote