Data Analyst optimizing carpool inventory data for BlaBlaCar. Collaborating with cross-functional teams to refine supply strategies and enhance driver experience.
Responsibilities
Own the entire data product lifecycle, from collaborating with stakeholders to define and document core KPIs
Designing robust data models (using dbt) and implementing the business logic with clean, efficient SQL while delivering impactful recommendations
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
Requirements
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
Benefits
Full remote possible in the country of employment
4 additional weeks on top of legal maternity/paternity leaves
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