Data Analyst supporting the operation of virtual power plants at DieEnergiekoppler GmbH. Analyze data, improve marketing potential, and support client operations in an agile environment.
About the role
- 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
- 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
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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