At Le Collectionist (LC), The Data team is composed of 2 Data Analysts (1 Lead and 1 IC) and 1 Lead Data Engineer reporting to the CTPO, and is thus part of the Tech & Product team.

The goal of the Data team is to unlock and democratize the usage of data in other team’s everyday activity and decision making process.

The Data Analyst is responsible for the company’s data monitoring performed through the dashboards or ad-hoc projects and is an active contributor to the Data ecosystem development, including the quality assurance, last-mile data transformations, end-user support.

Your role as Data Analyst will essentially focus on the product analytics and dataviz, including some basic data transformations.

The data team is working closely with all business teams and product managers on various projects being fully involved in their success.

On the point where you are joining the team, we managed to create a solid base for data platform development and LC data culture. 

In 2024, we are aiming to work on building a more Self-service oriented Data ecosystem for our users to be more independent, continue to develop long-lasting dynamic data solutions and why not, explore some Machine Learning use cases.

As a Data Analyst you will be evolving in a fast growing, high collaborative and open to all your ideas environment.

You will definitely get some level of autonomy, while remaining within the well-defined framework, being involved into decision-making processes and having all team support you need.

We are true adepts of well-structured processes and agile rituals and always happy to test new solutions.

We truly appreciate honesty, critical thinking and thirst for learning, and are always open to challenge our solutions to find the best approach together.

🚀 Key missions

As a Data Analyst, you will report directly to the Lead Data Analyst and:

• Develop and maintain aggregated tables powering end-user tools

• Develop and maintain company-wide dashboards

• Provide in-time support for LC users regarding their data needs (ad-hoc analysis)

• Work closely with data engineers to follow the best practices, contribute to the data platform development and tech debt reduction

• Ensure the quality and accuracy of the end-user datasets 

• Work closely with product managers and eventually business teams to identify their monitoring needs and transform them into data projects

• Contribute to the LC data culture development and “data as a product” vision

🏭 Our technical stack

• Cloud provider : Google Cloud Platform

• Data Warehouse : BigQuery

• BI tool : Looker Studio (old: Metabase)

• Product Analytics tool : Amplitude

• Marketing Web Analytic tool : GA4

• Roadmap management : Shortcut

• Documentation : Notion

• Orchestration & Transformation : Cloud Composer (Apache Airflow), Dataform

• Coding language : SQL, Python

• Communication : Slack

Perks :

🚌 50% reimbursement of the transportation pass🎂 1 day off for your birthday (excluding weekends and public holidays)

🍽️ Meal vouchers up to €8

💻 A laptop

🎊 Year-round events (Christmas Party, Raclette Party, Summer Party…)

💵 Unlimited referrals (up to €1000 for a permanent position)

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

🏡 2 remote days per week

🏋🏽 Gymlib subscription (activities and sports in France)

✨ Happypal account for cultural activities

Preferred background/experience

• Bac+5 engineering or data

• First experience as an Analyst in a startup/scaleup company

Hard skills

• Dataviz (experience with any of popular tools as Looker, Tableau, Power BI, Metabase)

• Cross sources data transformation and analysis (be able to mix and match properly the data from different sources)

• Product analyze and web analyze experience (ideally Amplitude knowledge)

• Some experience using any Cloud provider (AWS, GCP, Scaleway, OVH)

• Good level of SQL (daily basis usage)

Soft skills

• Big-picture thinker able to see how all the processes are linked and working together, having some strategic vision 

• Resourceful and quick learner, never blocked by some missing skills or knowledges

• Autonomous in setting priorities and managing his/her daily workload

• Don’t trade off best practices and scalability with immediate and easy solutions

• Able to speak business or technical language

• Proactive

Bonus :

• Agile project management experience (work with a roadmap, sprints planning, ticket system etc)

• Some experience with Amplitude or other PA tool

• Experience with data transformation tools (dbt, Dataform or other) and Github basic collaboration knowledges

1. Call with Marianne (Talent Recruiter) (30min)

2. Home assignment

3. Fit interview with Mariia (Lead Data Analyst - your manager) and Alexandre (Lead Data Engineer) + debrief home assignment (2h)

4. Interview with Julien (CTPO) (1h)