About BlaBlaCar
BlaBlaCar is the world’s leading community-based travel app enabling 27 million members a year to carpool or travel by bus in 21 countries. Our team of 800 employees counts over 50 nationalities and is spread across our 5 global offices, 30% working fully remotely.
Your Mission
Our Data services are organised following Data Mesh principles, distributing data ownership to domain-specific teams that manage, own, and serve the data as a product.
The Data Carpool Supply team’s mission is to build innovative data products that enhance our carpool inventory and empower our drivers. As a central force in the marketplace, we focus on pricing as our primary lever to effectively match passengers with drivers, ensuring a seamless and balanced ecosystem. We own the core services that compute costs and explore new frontiers in improving the overall driver experience.
As a Data Analyst in this squad, you will play a pivotal role in optimizing how we provide and visualize carpool inventory data. At the intersection of marketplace dynamics and user satisfaction, you will collaborate closely with cross-functional teams to refine our supply strategies. You’ll have the unique opportunity to grow your technical expertise while directly influencing the logic that powers our carpool services and supports our community of drivers.
Your Responsibilities
As a Data Analyst working on the Data Carpool Supply scope, you’ll be responsible for owning the entire data product lifecycle, from collaborating with stakeholders to define and document core KPIs, to designing robust data models (using dbt) and implementing the business logic with clean, efficient SQL while delivering impactful recommendations.
Examples of responsibilities include:
• Infusing a data-informed mindset to our Business and Product strategy by working conjointly with Leadership to define, analyze and report on KPIs
• Providing actionable insights on our user’s behavior during Product discovery and delivery
• Overseeing Product experimentation for our feature squads: designing AB test protocols, analyzing their impact, communicating their results and delivering recommendations
• Building, improving, and maintaining a suite of self-service Tableau dashboards and supporting data consumers in becoming autonomous in their usage of data
• Proactively identifying and automating data processes, such as recurring reports and data exports, to enhance operational efficiency and scale data delivery
• Designing and architecting data models in the data warehouse (using dbt) to ensure data is accurate, modular, and easy to use
• Driving the integration of Generative AI across analytics practices and ecosystem by optimizing data architecture for AI-readiness, developing automated solutions to enhance operational efficiency, and empowering stakeholders through LLM-driven data democratization
Your Qualifications
• Master’s degree or equivalent: engineering school, business school, etc…
• At least 2 years of professional experience working as a Data Analyst
• Excellent command of SQL
• Experience working with our stack: Airflow / BigQuery / GCP / Tableau
• Experience with data transformation tools (preferably dbt)
• Understanding of Python for data analysis, demonstrated by experience with libraries like Pandas and NumPy for data manipulation and scripting
• Solid understanding of applied statistics, including descriptive statistics, hypothesis testing, and the principles of experimental design (A/B testing)
• 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
• Fluent in English
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!
What we have to offer
• Full remote possible in the country of empx@loyment
• 4 additional weeks on top of legal maternity/paternity leaves
• 50% healthcare coverage (Alan)
• Financial support for home office equipment
• Minimum 25 days holiday per year
• Local meal plan policy (Swile card)
• 50% transportation paid (Forfait Mobilité Durable)
• Free unlimited carpooling & bus rides
• Personal growth via trainings, mentorship, and internal mobility programs
• Employee Stock ownership plan
• Regular team building events
• 1 day off per year to test our product
• 1 day per year for social engagements with non-profits
Interested in joining the ride?
• a 45-min video-call with Maxime, Talent Acquisition Managers to get to know you, understand your career expectations, and answer your first questions
• a 60-min video-call with your future manager, Alia Asri, Engineering Manager, to get to know you, present you the team, and discuss your technical fit for the role.
• a home assignment to evaluate your technical skills followed by a 90-min video-call with two Data Analysts.
• a 30-min video-call with Sébastien Labat, VP Engineering for vision fit and rounding off the process
Usually, our hiring process lasts on average 20-25 days and offers usually come within 48 hours.