EV Charging Station Data Analyst

Energetics - CLEAResult Energy Sustainability Consulting provides a full spectrum of clean energy consulting services to public and private sector clients. The Energetics team works with lead investors, innovators, and stakeholders to inform and expedite the development and market success of novel energy technologies, strategies and practices that deliver a sustainable future. Energetics was founded in 1979 and joined CLEAResult in 2024 as a division within CLEAResult's Energy Sustainability Services business.​

• Medical, Dental, and Vision Insurance; we also offer a company-paid health care concierge service to help navigate our health plan to make the best decisions for you and yours​

• 401(k) with company match ​

• Paid vacation, sick, personal and parental leave time​

• Paid Volunteer Time: giving back to our communities is important to us​

• Employee Recognition Program – convert your recognition points into gift cards​

• Employee Assistance Program – offers benefits to help you manage daily responsibilities​

• Access to on-demand training courses to advance further in your career

Job Description

Energetics - CLEAResult Energy Sustainability Consulting provides a full spectrum of clean energy consulting services to public and private sector clients. The Energetics team works with lead investors, innovators, and stakeholders to inform and expedite the development and market success of novel energy technologies, strategies and practices that deliver a sustainable future. Energetics was founded in 1979 and joined CLEAResult in 2024 as a division within CLEAResult's Energy Sustainability Services business.

Energetics is seeking an EV Charging Station Data Analyst. The EV Charging Station Data Analyst will assist with the collection, processing, and analyzing of electric vehicle (EV) charging station data from numerous network service providers to generate a clean, aggregated dataset that drives interactive dashboards visualizing key statistics. Ideal candidates will be graduates with a degree in engineering, data science, or a technical field.

This is a hybrid role requiring 2 days in office.

Responsibilities include, but are not limited to:

• 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

Required Qualifications (includes education, experience, competencies, etc.):

• 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
• Ability to work within a diverse team
• Comfortable multitasking on time-sensitive tasks without diminished quality of work

Preferred Qualifications:

• Degree in data science or related certifications
• 2-5 years of professional experience
• 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

Compensation Range

Currency

Type

Any offered salary is determined based on internal equity, internal salary ranges, market data/ranges, applicant’s skills and prior relevant experience, certain degrees and certifications (e.g. JD/technology), for example.

Sponsorship is not available for this position at this time. Successful hires must pass pre-employment checks.

Equal Opportunity Employer