Paris, FR, Remote

Job Term


Company Website

Who are they?

Le Collectionist is the European leader in high-end seasonal home rental and hospitality. We have one obsession: re-inventing the world of luxury hospitality, bringing the standards of a 5-star hotel into the intimacy of a home. We are working hard for our Owners, Guests, Teams & Partners, to bring them the same level of digital experience as in the mainstream hospitality industry.

Job description


At Le Collectionist, we have a lot of data. Data about

  • our Owners and their properties

  • our Guests, their travel needs and preferences

  • our ecosystem of local partners (chefs, skippers, ski instructors, etc)

Today all this data is scattered across several environments (production database, CRM and marketing tools, etc). The company has reached a point where leveraging this data asset will be key for its future growth and to keep on offering delightful experiences to our users.

Why join us?

We are offering you the opportunity to be the first experienced Data Analyst of our young and fast-growing Tech & Product team. The challenge: in duo with Alexandre, our experienced Data Engineer, help us reach new levels by building the Data team and platform we need to bring more data at the center of our initiatives.

You will help us create

  • The BI platform we need to empower all teams to make data-informed decisions for our business and users on a daily basis

  • The product analytics stack, to help the Product team better understand how users engage with our website and application

Reporting to Guillaume, our Head of Product, you will have a 360 view on all the aspects of the company: Product, Marketing, Ops, Sales and Finance. You will also work closely with Alexandre on global data processes and future organization.

Your key missions

  • Co-build and leverage a Business Intelligence platform to empower all teams with clean and actionable insights

  • Infuse a data-informed mindset in our company strategy by providing insights for the leadership team

  • Support business teams (Sales, Ops, Marketing) with ad-hoc analysis and reports

  • Manage and mentor Benjamin, our junior Data Analyst (and build a Data Analysts team in the future)

  • Co-define the Business Intelligence roadmap with the Leadership team and the Head of Product

  • Contribute to the definition of the Product strategy by defining, analyzing and reporting on Product KPIs

  • Contribute to Pproduct discovery by uncovering users’ needs and patterns through data

  • Contribute to Pproduct experimentation through the set-up and use of A/B testing tools

Our data stack (under construction)

  • Cloud : GCP

  • Data Warehouse: Google BigQuery

  • ELT & Orchestration : Airbyte, Apache Airflow

  • BI : Looker Studio, Metabase (to be challenged)


🚌 50% reimbursement of the transport pass

🎂 1 day off for your birthday (excluding weekends and public holidays).

✈️ A €500 voucher to visit the other offices: Marseille, Ibiza, Bordeaux, Annecy, Barcelona & Verbier

🍽️ A €8 meal voucher

💻 A laptop

🚀 An annual seminar (the next one is scheduled for 18/19 April 2023)

🎊 Events all year round (Christmas Party, Raclette Party, Summer Party…)

💵 Endless co-optation (up to 1000 euros for a CDI)

☀️ A surprise experience worth 150 euros to be won every quarter

🏡 Full remote possible

🏋🏽 Gymlib subscription (activities and sports in France)

✨ Happypal account for cultural activities

Translated with (free version)

Preferred experience

  • At least 2 years of professional experience as a Data Analyst
  • Knowledge in SQL and applied statistics
  • Proficiency in data visualization tools
  • Experience in synthesizing and communicating data clearly
  • Strong analytical and problem-solving skills, 
    • ability to think strategically
    • Results-driven and impact-oriented mindset
    • Fluency in English and French
    • A background in Product Analytics is a plus
    • Previous experience working with a Data Engineer is a plus

    If you don’t meet 100% of the qualifications outlined above, tell us why you’d still be a great fit for this role in your application!

    All our positions are open, with equal skills, to employees with specific needs/accommodations related to a disability.

    Recruitment process

    • HR Interview

    • Interview with the Data Engineer

    • Case study

    • Interview with the Head of Product

Apply now