As part of the Data analytics team, you will responsible for tracking customer behaviours, organizing our data infrastructure, and updating our dashboards, all in order to drive actionable insights and make strategic decisions.

Your main missions:

- Explore available data to identify key metrics and drive insights around customer behaviour
- Synthesize insights from data that will inform key social, content and business strategic decisions
- Create dashboards and build narrative around data analysis through storytelling and visualization
- Work with product, growth and project managers to deliver valuable analytics reports

Data Exploration will encompass all the areas from Product to Acquisition and Financial & Revenue.

Our Data Stack in place:

Storage and Processing : PostgreSQL / Big Query
Transformation : Airflow / Dbt
BI Tool : Looker / Metabase
Product Analytics : Segment / Amplitude
Marketing Analytics : Adjust

Being a Business Analyst requires a wide skill set and a high level of energy:

- Data-oriented and pragmatic: you are obsessed with data, collecting it, analyzing it and making it digestible as well as useful for anyone to make informed strategic decisions
- Careful and diligent: you are aware that you manipulate sensitive individual information, that you must treat it with privacy and care
- Rigorous and organized: you work in a methodical and structured way, you don’t leave any unfinished business unattended
- Entrepreneurial mindset: you are not afraid of taking responsibility and getting your hands dirty
- You graduated from a top Engineering or Business school

Your experience

- 1+ years working with Data, ideally for a mobile DTC business: you know the main KPIs to track, the most well-known tools and data infrastructure in the industry
- You know SQL (familiarity with Git is a Plus)
- You have a good knowledge and experience of tracking & analytics platforms (Amplitude, Adjust, Segment and BI tools)
- Familiarity with payments solutions is a plus
- Fluent in French and English

Recruitment process

• Call with the HR Team (30’)
• Call with Hiring Manager (15’)
• Case study
• Technical Interview with Senior Business Analyst (1h)
• Call with Hiring Manager (1h)