Data Analyst Carpool

About BlaBlaCar

BlaBlaCar is the worlds 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 teams 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. Youll 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 youll 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 users 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

Masters 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 dont meet 100% of the qualifications outlined above tell us why youd still be a great fit for this role in your application!

What we have to offer

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

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.

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.

Required Experience :

IC

Key Skills

Data Analytics,Microsoft Access,SQL,Power BI,R,Data Visualization,Tableau,Data Management,Data Mining,SAS,Data Analysis Skills,Analytics

Employment Type : Full-Time

Experience : years

Vacancy : 1