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 CRT team's mission is to transform BlaBlaCar's Customer Relations (CRT) into a data-driven, highly automated ecosystem. We build innovative data products and AI-driven solutions that streamline support operations, reduce manual overhead, and ensure our members receive world-class assistance. By owning the data lifecycle from raw Salesforce inputs to advanced Generative AI applications, we empower the CRT organization to scale efficiently while maintaining a human touch.
As a Data Analyst in this squad, you will play a pivotal role in defining how BlaBlaCar leverages data to support its millions of members. You will collaborate closely with Product, Engineering, and Customer Operations to turn complex support workflows into streamlined, data-driven processes. You'll have the unique opportunity to grow your technical expertise in Analytics Engineering (dbt) and GenAI integration, directly influencing the intelligent systems that empower our support agents and enhance the experience of our global community
Your Responsibilities As a Data Analyst working on the Data CRT 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
• Performing diagnostics on customer support processes to uncover inefficiencies and automation gaps and providing actionable insights on potential improvements
• Navigating a diverse stakeholder ecosystem to manage intake and prioritization, proactively negotiating trade-offs between urgent 'Run' requests and long-term analytical value.
• Overseeing the release of new features and tools in the CRT ecosystems: designing 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 • 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 (nice to have: Streamlit)
• Proficiency in data visualization tools
• Experience in synthesizing and communicating data clearly
• Experience working with several stakeholders in parallel
• 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 • Hybrid status for this role : 2-3 days at the Office
• 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? Here's what your hiring journey will look like:
• 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, Fabio Cecchi, 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 Orianne Friedrich, Head of Data 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.
BlaBlaCar is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.