Public summary
A senior data analyst role focused on analyzing charging behavior, billing flows, and customer usage in electric mobility. The position involves defining KPIs as a single source of truth, collaborating cross-functionally with product, finance, and engineering teams, developing and maintaining interactive Power BI dashboards, ensuring data quality in Snowflake and PostgreSQL environments, and supporting business decisions with analytical insights. The role requires 5+ years of experience in data analysis, advanced SQL skills, expertise in Power BI or similar tools, familiarity with semantic layer tools like dbt, strong statistical knowledge, and excellent communication skills. Fluent English is required, German is a plus.
Location and work setup
- Location
- Berlin, Munich
- Remote status
- Hybrid
- German requirement signal
- No German Required Detected
- Detected job language
- English
Responsibilities
Develop deep analytical understanding of charging behavior, billing flows, and customer usage. Define and maintain KPIs as a trusted semantic layer for metrics related to revenue, margin, and usage. Collaborate with product, finance, operations, and engineering teams to translate business needs into actionable analysis. Create and maintain Power BI dashboards enabling business stakeholders to self-serve insights. Conduct exploratory and strategic analyses to support product launches, commercial initiatives, and financial planning. Ensure data quality and consistency in Snowflake and PostgreSQL, acting as the quality gatekeeper. Work with data engineers to produce clean, well-modeled data to support analytics and AI-driven insights. Communicate findings effectively to both technical and non-technical audiences, focusing on actionable business implications.
Qualifications
Minimum 5 years of experience in data analysis, preferably in mobility, energy, e-commerce, or fintech. Advanced SQL skills (Snowflake, PostgreSQL). Proficient in Power BI, Tableau, or Looker. Experience with semantic layer or data transformation tools like dbt. Strong knowledge of statistics and experiment design, including A/B testing. Excellent communication skills and ability to partner with diverse teams. Business-first and structured mindset with strong commercial curiosity. Degree in Economics, Statistics, Mathematics, Computer Science, or equivalent practical experience. Fluent in English; German language skills are a plus.