À propos du poste
At Le Collectionist (LC), The Data team is composed of 3 Data Analysts (1 Lead and 1 IC) and 2 Data Engineers 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 trainee is responsible for the cross team data reporting and business insights delivery performed through the different ad-hoc projects based on the end-user requests.
Your missions include data transformations (SQL) and meticulous quality assurance on a daily basis.
Your main interlocutors are business teams and product managers all over the company.
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 trainee 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 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 trainee, you will report directly to the Lead Data Analyst and :
● Offer essential in-time support for the internal teams :
* Use available certified data to create on-demand extracts
* Perform ad-hoc analysis as part of various data exploration projects
● 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 you are providing
● 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
