Data Analyst at BlaBlaCar optimizing customer relations with data insights and AI-driven solutions. Collaborate with teams to enhance operational efficiency and streamline processes.
Responsibilities
Owning the entire data product lifecycle, from collaborating with stakeholders to define and document core KPIs, to designing robust data models (using dbt)
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
Requirements
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
Benefits
Hybrid status for this role : 2-3 days at the Office
4 additional weeks on top of legal maternity/paternity leaves
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