Energy Performance and Data Analysis Intern

Internship, onsite
CUNY Building Performance Lab
On Site, United States of America

Salary undisclosed

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General Description

Through its partnership with the City of New York, CUNY s Building Performance Laboratory is hiring qualified energy management professionals to serve as on-site consultants and fill critical staffing capacity needs at the Department of Citywide Administrative Services ( DCAS ) Division of Energy Management ( DEM ). For background, DEM serves as the hub for energy management for City government operations. DEM develops the City s annual Heat, Light, and Power Budget; manages the City s electricity, natural gas, and steam accounts; helps agency partners identify and pursue energy-saving opportunities; does energy efficiency and clean power generation projects across the City s portfolio; and implements operations and maintenance best practices. Specifically, DEM is tasked with leading the City s efforts to reduce emissions from City government operations 40 percent by 2025, 50 percent by 2030, and 80 percent by 2050 from baseline.

For this specific role, on behalf of DEM, CUNY BPL seeks to hire a Energy Performance and Data Analysis Intern to help reduce emissions and energy consumption across the City by supporting key initiatives and contributing to the analysis of energy data, assisting in optimizing EV charging station performance, exploring machine learning applications for energy management, and performing quality assurance reviews. This role is ideal for individuals interested in sustainability and applying data-driven approaches to energy management challenges.

NYC residency may be required for continued employment. Immigration sponsorship is not available through this program. This is an on-site position based in 1 Centre St, New York, NY.

< class="job-cont-head">Other Duties</>

Data Analysis and Visualization: Analyze energy and GHG emissions data to identify trends and create actionable visualizations
EV Station Optimization: Assist in analyzing user comments and usage data to identify issues and recommend improvements
Machine Learning Research: Support the exploration and prototyping of machine learning applications for energy management
Quality Assurance: Assist in review and verify energy account data to ensure accuracy and integrity across systems
Reporting and Recommendations: Prepare reports and provide insights to guide energy efficiency and sustainability initiatives
Other duties as assigned

< class="job-cont-head">Qualifications</>

The ideal candidate will bring the following skills and experience to this position:

Minimum Qualifications:

Graduate-level coursework in data analytics, computer science, sustainability, or a related field
Proficiency in Python, SQL, or other data analysis tools
Strong written and verbal communication skills
Accuracy and attention to detail in reviewing data
Ability to conduct research and synthesize findings into insights

Preferred Qualifications:

Experience using visualization tools like Power BI or Tableau
Familiarity with energy management principles and GHG emissions tracking
Knowledge of natural language processing (NLP) techniques
Strong critical thinking and problem-solving skills
Adaptability and eagerness to contribute to innovative solutions

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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