Careers 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 Division of Energy Management.
For background, the Division of Energy Management (DEM) within the Department of Citywide Administrative Services (DCAS) oversees more than 10,000 utility accounts across City agencies, representing one of the largest public-sector energy portfolios in the nation. DEM is responsible for auditing and validating utility data, managing energy supply and performance programs, and supporting the City’s long-term climate and electrification goals under Local Law 97 and OneNYC 2050.
For this specific role, on behalf of DEM, CUNY BPL seeks to hire an Energy Data and Performance Analyst to play a key role in advancing DEM’s data-driven operations by expanding its analytics, performance monitoring, and reporting functions. The position supports multiple high-priority initiatives, including the integration of Advanced Metering Infrastructure (AMI) data, electric vehicle infrastructure performance tracking aligned with NYC’s Green Rides Initiative, and solar and distributed energy resource (DER) monitoring. The Analyst will also contribute to ongoing Energy Cost Control and Conservation Portal (EC3) data validation, anomaly detection, and dashboard management to improve accuracy and transparency across DEM’s reporting systems.
This is a hybrid position working on-site 3 days a week at 1 Centre St, New York, NY 10007. NYC residency may be required for continued employment. Immigration sponsorship is not available through this program.
Other Duties
Under this assignment, the person’s responsibilities may include the following:
- AMI Data Integration | Support management and analysis of high-frequency interval data; assist with meter performance profiling, peak-demand tracking, and anomaly detection.
- EV Infrastructure Reporting | Maintain dashboards on charger usage, uptime, user feedback, and pricing, support planning and reporting tied to NYC's "Green Ride" electrification goals and DCAS initiatives.
- EC3 Data Quality Assurance | Conduct monthly validation and reporting for EC3 billing data; backfill review tasks to ensure continuity; and improve anomaly detection and workflow efficiency.
- Energy Impact Tracking | Analyze usage and cost impacts from fuel cells, cogeneration units, and EV infrastructure; and connect insights to HLP budget planning and project evaluation.
- Solar, VDER, Renewable Energy Credit (REC) Performance Monitoring | Analyze solar generation versus expected VDER credits; identify underperforming systems and long-term production trends; and track Renewable Energy Credit (REC) creation and retirements.
- Power Purchase Agreement Oversight (NYPA & Generate) | Develop reports comparing actual vs. projected energy delivery; and monitor price per kWh costs and flag sites for deeper review.
- Dashboard Maintenance | Update and QA dashboards covering EV, solar, interval, and anomaly data; and support design and visualization improvements with IT and Analytics teams.
Qualifications
- Master's Degree in Mathematics, Data Science, Engineering, Economics, Statistics, or a related quantitative or environmental field.
- Demonstrated experience in energy analytics, financial or operational data analysis, or performance reporting.
- Strong proficiency with Microsoft Excel and data visualization tools (Power BI, Tableau, etc.).
- Excellent analytical, organizational, and communication skills with attention to detail.
- Ability to manage multiple priorities and work collaboratively in a fast-paced environment.
Preferred Qualifications
- Experience with EV infrastructure planning, reporting, or performance analytics.
- Familiarity with EC3 or other large-scale energy data platforms.
- Experience with utility billing systems, AMI data, or energy-performance monitoring.
- Knowledge of SQL, Python, or other data-management tools.
- Understanding of distributed generation (solar, cogen, fuel cell) performance metrics.
- Background in public-sector energy management or sustainability programs.
RFCUNY Benefits
RFCUNY Employee Benefits and AccrualsAbout 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
Key Features
DCAS, Division of Energy Management
Full Time
$70,000.00 - $74,536.00
Jan 21, 2026 (Or Until Filled)