

Cortech
Utility Data Analyst – EV Charging
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Utility Data Analyst – EV Charging, offering a contract length of "unknown" at a pay rate of "unknown." Required skills include Python, Power BI, and strong data management experience. A Bachelor's degree in a relevant field is essential.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
360
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🗓️ - Date
January 8, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
New York, NY 10003
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🧠 - Skills detailed
#Python #Telematics #Data Quality #Compliance #Data Science #Data Manipulation #Microsoft Excel #Microsoft Power BI #Trend Analysis #Datasets #Data Accuracy #"ETL (Extract #Transform #Load)" #Data Analysis #BI (Business Intelligence) #Statistics #Visualization #Data Cleaning
Role description
Position Overview We are seeking a detail-oriented Data Analyst Electric Vehicle Charging Data to support the commercial managed charging program, Smart Charge Commercial, within the E-Mobility team. This role plays a critical part in analyzing and managing EV charging data to support program design, operational decisions, and regulatory reporting. This position involves highly repetitive data tasks and requires exceptional attention to detail, organization, and accuracy. The ideal candidate is comfortable troubleshooting data inconsistencies and working with large, complex datasets. Key Responsibilities Data Acquisition Management Download, aggregate, and manage EV charging datasets from multiple sources, including: Network service provider dashboards Charger-level data Meter-level data Ensure data accuracy, consistency, and compliance with internal reporting standards Identify and resolve data quality issues across large datasets Data Analysis Insights Analyze EV charging data to identify trends in utilization, energy consumption, and charging behavior Conduct trend analysis and develop load profiles and forecasts to support grid planning and managed charging initiatives Apply statistical and data visualization techniques to effectively communicate findings Reporting Collaboration Collaborate with assistant program managers and external partners to refine data requirements Support troubleshooting and resolution of data inconsistencies Translate technical findings into actionable insights for operational and program teams Required Qualifications (Must-Have) 25 years of experience in a data analyst or similar role Proficiency in Python for data analysis Experience with Power BI or similar data visualization tools Strong experience working with large datasets and data cleaning techniques Advanced proficiency in Microsoft Excel for data manipulation and analysis Solid understanding of EV charging infrastructure and energy systems Preferred Qualifications (Nice-to-Have) Experience analyzing EV charging data Familiarity with EV telematics, charger-level, and meter-level data Salesforce experience Knowledge of utility operations, managed charging programs, or demand response Ability to interpret technical reports and apply insights to real-world scenarios Comfortable learning and adopting new technologies Soft Skills Attributes Ability to work independently and collaboratively as needed Strong attention to detail and organizational skills Positive, proactive mindset Eager to learn and take initiative in a fast-paced environment Education Requirement Bachelor’s degree in Data Science, Statistics, Engineering, or a related field
Position Overview We are seeking a detail-oriented Data Analyst Electric Vehicle Charging Data to support the commercial managed charging program, Smart Charge Commercial, within the E-Mobility team. This role plays a critical part in analyzing and managing EV charging data to support program design, operational decisions, and regulatory reporting. This position involves highly repetitive data tasks and requires exceptional attention to detail, organization, and accuracy. The ideal candidate is comfortable troubleshooting data inconsistencies and working with large, complex datasets. Key Responsibilities Data Acquisition Management Download, aggregate, and manage EV charging datasets from multiple sources, including: Network service provider dashboards Charger-level data Meter-level data Ensure data accuracy, consistency, and compliance with internal reporting standards Identify and resolve data quality issues across large datasets Data Analysis Insights Analyze EV charging data to identify trends in utilization, energy consumption, and charging behavior Conduct trend analysis and develop load profiles and forecasts to support grid planning and managed charging initiatives Apply statistical and data visualization techniques to effectively communicate findings Reporting Collaboration Collaborate with assistant program managers and external partners to refine data requirements Support troubleshooting and resolution of data inconsistencies Translate technical findings into actionable insights for operational and program teams Required Qualifications (Must-Have) 25 years of experience in a data analyst or similar role Proficiency in Python for data analysis Experience with Power BI or similar data visualization tools Strong experience working with large datasets and data cleaning techniques Advanced proficiency in Microsoft Excel for data manipulation and analysis Solid understanding of EV charging infrastructure and energy systems Preferred Qualifications (Nice-to-Have) Experience analyzing EV charging data Familiarity with EV telematics, charger-level, and meter-level data Salesforce experience Knowledge of utility operations, managed charging programs, or demand response Ability to interpret technical reports and apply insights to real-world scenarios Comfortable learning and adopting new technologies Soft Skills Attributes Ability to work independently and collaboratively as needed Strong attention to detail and organizational skills Positive, proactive mindset Eager to learn and take initiative in a fast-paced environment Education Requirement Bachelor’s degree in Data Science, Statistics, Engineering, or a related field






