Confirmed Data Analyst - Demand

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.

Our Data department is organised following Data Mesh principles, distributing data ownership to cross-functional and domain-specific teams that manage, own, and serve the data as a product.

The Data Demand team’s mission is to help BlaBlaCar grow as a global OTA through data, covering the full customer journey from brand and product discovery through marketing and landing pages, to search, booking, post-booking, and payment. As the team expands its scope from self-service towards decision intelligence, we want to strengthen our ability to proactively analyse member, marketplace, and product behaviours, and to influence the decisions that shape the product.

As a Data Analyst, you will join the Data Demand team to drive decision-making through data: framing the right questions with stakeholders, going deep into data to explain what is happening, sizing opportunities, interpreting experiments, and translating insights into actionable recommendations for Product and Marketing teams.

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  Partner with Product, Marketing, and Business stakeholders to understand their goals, frame analytical questions, and identify the decisions where data can have the highest impact.

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  Collaborate with Data Engineers, Data Scientists, and other Data Analysts to improve the quality, usability, and coverage of our data products, and explore opportunities to turn advanced analytics or ML/AI initiatives into measurable business impact.

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  Lead end-to-end analyses on product and business topics such as marketplace dynamics, search-to-book performance, member behaviour, audience knowledge, or CRM and marketing impact.

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  Go beyond dashboards to investigate the “why” behind trends, anomalies, and performance changes, combining exploratory analysis, statistical reasoning, and strong business context.

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  Build clear narratives from data: communicate findings, trade-offs, confidence levels, and recommendations in a way that helps stakeholders align and act.

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  Contribute to reusable business knowledge and context engineering by documenting insights, analytical frameworks, or business relationships, and play a governance role in aligning definitions, reducing gaps between teams, and improving data quality over time.

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  Leverage BlaBlaCar’s available GenAI tools to work more efficiently in day-to-day analysis and documentation, while applying strong critical thinking to challenge, validate, and contextualise the outputs before using them in decision-making.

• Master’s degree or equivalent: engineering school, business school, etc

• At least 3 years of professional experience working as a Data Analyst

• Strong SQL skills and hands-on experience analysing large and complex datasets.

• Good understanding of product analytics, funnel analysis, cohort analysis, segmentation, experimentation, and performance monitoring.

• Ability to structure ambiguous problems, challenge assumptions, and translate business or product questions into robust analytical approaches.

• Experience with data visualisation, with a strong sense of how to design clear, trustworthy, and decision-oriented outputs.

• Solid communication skills: you can turn analysis into a compelling story, adapt your message to different audiences, and influence decisions with clarity and humility.

• Comfort working with cross-functional teams and building strong stakeholder relationships.

• Curiosity for product, growth, marketplaces, and member behaviour, with a pragmatic mindset focused on impact over perfect analysis.

• Python or another analytical programming language, causal inference, or advanced experimentation knowledge is a plus.

• 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!

• Hybrid: 2 to 3 days at the office for this role

• 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

• Mental health support through Moka.care

• 1 day off per year to test our product

• 1 day per year for social engagements with non-profits

Here’s what your hiring journey will look like:

• a 45-min video-call with @Maxime GAUDILLIÈRE , Talent Acquisition Manager to get to know you, understand your career expectations, and answer your first questions

• a 60-min video-call with your future manager, @Adrien TORDJEMAN 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 a Data Analyst and one of your future stakeholders.  

• a 30-min video-call with @Orianne Friedrich, Head of Data for vision fit and rounding off the process