Senior Data Analyst
Responsibilities:
- Analyze large and diverse data sets from EV charging stations, vehicles, customers, and grid systems.
- Work with Operations team to establish SLAs and KPIs for network performance, troubleshooting response times, and uptime reliability.
- Develop dashboards and reports to track SLAs and KPIs such as charger utilization, uptime, energy delivered, and customer wait times.
- Generate automated reporting for Rebate Programs, Compliance Reporting, Financial reporting and customer insights.
- Collaborate with Product, Operations, and Finance teams to deliver actionable insights.
- Build forecasting models to support charger demand planning and infrastructure expansion.
- Work with Operations team to root operational inefficiencies, outages, or customer dissatisfaction using data.
- Translate technical findings into clear recommendations for both technical and non-technical stakeholders.
- Design and maintain robust data pipelines, ensuring data quality, consistency, and availability.
Requirements:
- Bachelor’s degree in Data Science, Statistics, Computer Science, Engineering, or a related field.
- 8+ years of experience in data analysis, preferably in energy, mobility, transportation, or infrastructure.
- Proficiency in SQL, Python, Java, and data visualization tools (Tableau, PowerBI, etc.)
- Experience working with large-scale data in cloud platforms
- Strong communication and storytelling skills – ability to present insights clearly and influence decisions.
Preferred Qualifications
- Familiarity with the Electric Vehicle space, EV Charging Ecosystems, or Utility data.
- Background in time-series or operational data analysis.
- Advanced degree (MS/PhD) in a quantitative field is a plus.
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