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Lead Data Analyst - CDI - Remote or offices

Permanent contract
Paris
Salary: Not specified
Starting date: April 16, 2023
A few days at home
Experience: > 4 years
Education: Master's Degree

Le Collectionist
Le Collectionist

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The position

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.

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. Interacting closely with the Leadership and the Business teams, you will play an instrumental role in infusing a data-informed mindset in strategic and operational decisions. You will also work closely with Alexandre on global data processes and future organization.

Your key missions

  • Understand the needs of various Business teams on diverse topics - e.g. supply analysis, marketing performance, user experience and product performance

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

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

  • 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, the Lead Data Engineer and the Head of Product

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

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

  • Contribute to Product analytics by implementing a product analytics platform (eg: Amplitude, etc)

  • Contribute to Product experimentation through the setup 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)

    Perks

🚌 50% reimbursement of the transport pass

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

🍽️ 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


Preferred experience

  • At least 4 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 Guillaume, Head of Product

  • Interview with Alexandre, Lead Data Engineer

  • Case study

  • Interview with Julien, CTO

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