<div><b><span style="font-size:18px;">About BlaBlaCar</span></b></div><div><br></div><div><span style="font-size:16px;">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.</span></div><div><br></div><div><b><span style="font-size:18px;">Your Mission</span></b></div><div><br></div><div><span style="font-size:16px;">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. </span></div><div><br></div><div><span style="font-size:16px;">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.</span></div><div><br></div><div><span style="font-size:16px;">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.</span></div><div><br></div><div><b><span style="font-size:18px;">Your Responsibilities</span></b></div><div><br></div><div><span style="font-size:16px;">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. </span></div><div><br></div><div><span style="font-size:16px;">Examples of responsibilities include:</span></div><div><span style="font-size:16px;">• Infusing a data-informed mindset to our Business and Product strategy by working conjointly with Leadership to define, analyze and report on KPIs </span></div><div><span style="font-size:16px;">• Providing actionable insights on our user’s behavior during Product discovery and delivery</span></div><div><span style="font-size:16px;">• Overseeing Product experimentation for our feature squads: designing AB test protocols, analyzing their impact, communicating their results and delivering recommendations</span></div><div><span style="font-size:16px;">• Building, improving, and maintaining a suite of self-service Tableau dashboards and supporting data consumers in becoming autonomous in their usage of data</span></div><div><span style="font-size:16px;">• Proactively identifying and automating data processes, such as recurring reports and data exports, to enhance operational efficiency and scale data delivery</span></div><div><span style="font-size:16px;">• Designing and architecting data models in the data warehouse (using dbt) to ensure data is accurate, modular, and easy to use</span></div><div><span style="font-size:16px;">• 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</span></div><div><br></div><div><b style="font-size:18px;">Your Qualifications</b></div><div><br></div><div><span style="font-size:16px;">• Master’s degree or equivalent: engineering school, business school, etc…</span></div><div><span style="font-size:16px;">• At least 2 years of professional experience working as a Data Analyst</span></div><div><span style="font-size:16px;">• Excellent command of SQL</span></div><div><span style="font-size:16px;">• Experience working with our stack: Airflow / BigQuery / GCP / Tableau</span></div><div><span style="font-size:16px;">• Experience with data transformation tools (preferably dbt)</span></div><div><span style="font-size:16px;">• Understanding of Python for data analysis, demonstrated by experience with libraries like Pandas and NumPy for data manipulation and scripting</span></div><div><span style="font-size:16px;">• Solid understanding of applied statistics, including descriptive statistics, hypothesis testing, and the principles of experimental design (A/B testing)</span></div><div><span style="font-size:16px;">• Proficiency in data visualization tools</span></div><div><span style="font-size:16px;">• Experience in synthesizing and communicating data clearly</span></div><div><span style="font-size:16px;">• Strong analytical and problem-solving skills, ability to think strategically</span></div><div><span style="font-size:16px;">• Results-driven and impact-oriented mindset</span></div><div><span style="font-size:16px;">• Fluent in English </span></div><div><br></div><div><span style="font-size:16px;">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!</span></div><div><br></div><div><b><span style="font-size:18px;">What we have to offer</span></b></div><div><br></div><div><span style="font-size:16px;">• Full remote possible in the country of empx@loyment</span></div><div><span style="font-size:16px;">• 4 additional weeks on top of legal maternity/paternity leaves</span></div><div><span style="font-size:16px;">• 50% healthcare coverage (Alan)</span></div><div><span style="font-size:16px;">• Financial support for home office equipment</span></div><div><span style="font-size:16px;">• Minimum 25 days holiday per year </span></div><div><span style="font-size:16px;">• Local meal plan policy (Swile card)</span></div><div><span style="font-size:16px;">• 50% transportation paid (Forfait Mobilité Durable)</span></div><div><span style="font-size:16px;">• Free unlimited carpooling &amp; bus rides</span></div><div><span style="font-size:16px;">• Personal growth via trainings, mentorship, and internal mobility programs</span></div><div><span style="font-size:16px;">• Employee Stock ownership plan</span></div><div><span style="font-size:16px;">• Regular team building events</span></div><div><span style="font-size:16px;">• Mental health support through </span><a style="font-size:16px;" href="http://Moka.care">Moka.care</a></div><div><span style="font-size:16px;">• 1 day off per year to test our product</span></div><div><span style="font-size:16px;">• 1 day per year for social engagements with non-profits</span></div><div><br></div><div><b><span style="font-size:18px;">Interested in joining the ride?</span></b></div><div><br></div><div><span style="font-size:16px;">• a 45-min video-call with Maxime, Talent Acquisition Managers to get to know you, understand your career expectations, and answer your first questions</span></div><div><span style="font-size:16px;">• 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.</span></div><div><span style="font-size:16px;">• a home assignment to evaluate your technical skills followed by a 90-min video-call with two Data Analysts. </span></div><div><span style="font-size:16px;">• a 30-min video-call with Sébastien Labat, VP Engineering for vision fit and rounding off the process</span></div><div><br></div><div><span style="font-size:16px;">Usually, our hiring process lasts on average 20-25 days and offers usually come within 48 hours.</span></div><div><br></div><br><br><br><div>BlaBlaCar is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.</div>

<p><span style="font-weight: 400;">BlaBlaCar is the world&rsquo;s leading community-based travel app enabling 27 million active members a year to share a ride in 21 countries. Its technology matches drivers with empty seats with passengers heading the same way, so they can share the cost of the trip. With the mission to be the go-to marketplace for shared travel, BlaBlaCar combines carpooling with bus journeys from over 5 000 operators to offer a wide choice of affordable and sustainable travel solutions, all in one app.</span></p>
<p><br /><span style="font-weight: 400;">In 2023, BlaBlaCar&rsquo;s trusted community connected 2,4 million meeting points worldwide and enabled 104 million human encounters. Carpool drivers saved 513 million euros, and all BlaBlaCar&rsquo;s mobility services contributed to avoiding 2 million tonnes of CO</span><span style="font-weight: 400;">2</span><span style="font-weight: 400;"> emissions.</span></p>

Data Analyst - Carpool

<div><b><span>About BlaBlaCar</span></b></div><div><br></div><div><span>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.</span></div><div><br></div><div><b><span>Your Mission</span></b></div><div><br></div><div><span>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.&nbsp;</span></div><div><br></div><div><span>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.</span></div><div><br></div><div><span>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.</span></div><div><br></div><div><b><span>Your Responsibilities</span></b></div><div><br></div><div><span>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.&nbsp;</span></div><div><br></div><div><span>Examples of responsibilities include:</span></div><div><span>• Infusing a data-informed mindset to our Business and Product strategy by working conjointly with Leadership to define, analyze and report on KPIs&nbsp;</span></div><div><span>• Providing actionable insights on our user’s behavior during Product discovery and delivery</span></div><div><span>• Overseeing Product experimentation for our feature squads: designing AB test protocols, analyzing their impact, communicating their results and delivering recommendations</span></div><div><span>• Building, improving, and maintaining a suite of self-service Tableau dashboards and supporting data consumers in becoming autonomous in their usage of data</span></div><div><span>• Proactively identifying and automating data processes, such as recurring reports and data exports, to enhance operational efficiency and scale data delivery</span></div><div><span>• Designing and architecting data models in the data warehouse (using dbt) to ensure data is accurate, modular, and easy to use</span></div><div><span>• 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</span></div><div><br></div><div><b>Your Qualifications</b></div><div><br></div><div><span>• Master’s degree or equivalent: engineering school, business school, etc…</span></div><div><span>• At least 2 years of professional experience working as a Data Analyst</span></div><div><span>• Excellent command of SQL</span></div><div><span>• Experience working with our stack: Airflow / BigQuery / GCP / Tableau</span></div><div><span>• Experience with data transformation tools (preferably dbt)</span></div><div><span>• Understanding of Python for data analysis, demonstrated by experience with libraries like Pandas and NumPy for data manipulation and scripting</span></div><div><span>• Solid understanding of applied statistics, including descriptive statistics, hypothesis testing, and the principles of experimental design (A/B testing)</span></div><div><span>• Proficiency in data visualization tools</span></div><div><span>• Experience in synthesizing and communicating data clearly</span></div><div><span>• Strong analytical and problem-solving skills, ability to think strategically</span></div><div><span>• Results-driven and impact-oriented mindset</span></div><div><span>• Fluent in English&nbsp;</span></div><div><br></div><div><span>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!</span></div><div><br></div><div><b><span>What we have to offer</span></b></div><div><br></div><div><span>• Full remote possible in the country of empx@loyment</span></div><div><span>• 4 additional weeks on top of legal maternity/paternity leaves</span></div><div><span>• 50% healthcare coverage (Alan)</span></div><div><span>• Financial support for home office equipment</span></div><div><span>• Minimum 25 days holiday per year&nbsp;</span></div><div><span>• Local meal plan policy (Swile card)</span></div><div><span>• 50% transportation paid (Forfait Mobilité Durable)</span></div><div><span>• Free unlimited carpooling &amp; bus rides</span></div><div><span>• Personal growth via trainings, mentorship, and internal mobility programs</span></div><div><span>• Employee Stock ownership plan</span></div><div><span>• Regular team building events</span></div><div><span>• Mental health support through </span><a href="http://Moka.care">Moka.care</a></div><div><span>• 1 day off per year to test our product</span></div><div><span>• 1 day per year for social engagements with non-profits</span></div><div><br></div><div><b><span>Interested in joining the ride?</span></b></div><div><br></div><div><span>• a 45-min video-call with Maxime, Talent Acquisition Managers to get to know you, understand your career expectations, and answer your first questions</span></div><div><span>• 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.</span></div><div><span>• a home assignment to evaluate your technical skills followed by a 90-min video-call with two Data Analysts.&nbsp;</span></div><div><span>• a 30-min video-call with Sébastien Labat, VP Engineering for vision fit and rounding off the process</span></div><div><br></div><div><span>Usually, our hiring process lasts on average 20-25 days and offers usually come within 48 hours.</span></div><div><br></div><br><br><br><div>BlaBlaCar is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.</div>

Data Analyst - Carpool

About the Job

About the Company

BlaBlaCar

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