Job Title: Energy Performance and Data Analysis Intern PVN ID: VA-2502-006715 Category: Research Location: OFFICE OF SR. UNIV DEAN FOR ACADEMIC AFFAIRS Job Description 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. 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 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 RFCUNY Benefits RFCUNY Employee Benefits and Accruals About the Research Foundation The Research Foundation of The City University of New York (RFCUNY) is a nonprofit educational corporation founded in 1963 to provide post-award fiscal and administrative support for CUNY’s research and sponsored programs. RFCUNY’s services allow CUNY researchers, faculty, and staff to focus on their intellectual curiosity and scientific discoveries, on projects and programs that serve our local and global communities, proposing concrete solutions to society’s most pressing challenges. RFCUNY serves as a fiscal agent and works closely with all the CUNY campus Grants Offices to perform the core functions of post-award financial management for CUNY research projects and sponsored programs. These functions include legal assessment and signing of agreements where RFCUNY is named as a fiscal agent; setting up award accounts; preparing sub-awards and assisting PIs in monitoring the work of the recipients of sub-awards; supporting project directors with hiring and managing research project and sponsored program staff; supporting the purchasing and paying for goods and services with grant and program funds; managing financial aspects of projects including accounts receivable, financial reporting, invoicing, budget monitoring, and cost compliance with uniform guidance; ensuring that sponsor financial requirements are met; monitoring compliance with applicable project and financial management rules and laws; supporting the management of independent and external audits and financial reviews; and providing data, information, management expertise, and other supports to CUNY’s research and sponsored programs. Equal Employment Opportunity Statement The Research Foundation of the City University of New York is an Equal Opportunity/Affirmative Action/Americans with Disabilities Act/E-Verify Employer. It is the policy of the Research Foundation of CUNY to provide equal employment opportunities free of discrimination based on race, color, age, religion, sex, pregnancy, childbirth, national origin, disability, marital status, veteran status, sexual orientation, gender identity, genetic information, marital status, domestic violence victim status, arrest record, criminal conviction history, or any other protected characteristic under applicable law. Key Features Department DCAS, Division of Energy Management Status Part Time Pay Range $18.00-$21.00 Hour(s) a week 20.00-34.00 Closing Date Apr 19, 2025 (Or Until Filled) Bargaining Unit No Actions + Apply + Print + Email + Linkedin + Facebook (http://www.facebook.com/share.php?u=https://www.rfcuny.org/careers/postings?pvnID=VA-2502-006715&title=Careers at RFCUNY) + Google + + Twitter (http://twitter.com/home?status=Job Openings at RFCUNY+https://www.rfcuny.org/careers/postings?pvnID=VA-2502-006715)