EV Charging Station Data Analyst

Responsibilities

• Analyzing electric vehicle operational and charging session data
• Creating data frameworks for automated data transfer
• Conducting quality control on received data sets
• Characterizing data by removing proprietary information
• Adding cleansed data sets into the database for post-processing
• Running utilization and other reports based on various attributes
• Creating visually interesting tabular and graphical summaries
• Deploying and running code on cloud computing platforms

Requirements

• Bachelor’s degree in an engineering, data science or a technical field from an accredited university
• Data analysis software and programming experience (e.g., MS Azure, Python, Geographical Information System [GIS], Microsoft Power BI, Tableau)
• Excellent communication skills (verbal, interpersonal, and written)
• Interest in energy efficiency and clean energy with specific emphasis on transportation technologies such as: alternative fuels, vehicle electrification, and connected and autonomous vehicles
• Excellent organization and time management skills
• Proficient in Microsoft Office, with advanced Excel skills
• Successful when working on self-managed tasks
• Comfortable multitasking on time-sensitive tasks without diminished quality of work

Qualifications

• Preferred qualifications include:
• Degree in data science or related certifications
• 2-5 years of professional experience in electric vehicle and charging station data collection and analysis
• Database setup and management
• Advanced data analytics and visualization (e.g., Python, R, Matlab) or GIS program use and results analysis
• Alternative fuels and transportation electrification familiarity
• Data modeling & transformation
• CI/CD workflow development
• Cloud computing resource coordination & deployment