Advanced Efficiency Solutions - Albany Office
New York is leading the nation in the fight on global climate change and the transition to a clean energy-powered economy. With the passage of the Climate Leadership and Community Protection Act, New York has codified the most aggressive climate change program in the nation with goals to reach zero carbon emissions in the electricity sector by 2040; install 9 gigawatts of offshore wind by 2035; 6 gigawatts of solar by 2025; and 3 gigawatts of energy storage by 2030. Additionally, the law creates the Climate Action Council comprised of the leaders of various state agencies and authorities as well as legislative appointments to develop a plan outlining how the state will achieve an 85% reduction in GHG emissions from 1990 levels by 2050, and eventually net zero emissions in all sectors of the economy.
This is a paid internship for current, full-time college students. The pay rate is from $15 to $17 per hour based on current class year. This internship will begin in Spring 2023 semester and may continue through the academic year.
Interns must be located in New York State while working. It is expected that interns will follow our telework policy, with a combination of in-office and remote work. Interns work up to 18.5 hours per week during the semester, and up to 37.5 hours per week in between semesters, when not attending classes.
- Analyze building, demographic and NYSERDA program data to identify residential and commercial market segments
- Model estimated energy savings in these market segments and develop packages of energy efficiency measures
- Develop reports and analytics tools to support pilot activities using our OmniSci and Tableau resources
- Perform other responsibilities as assigned
- Current, full-time undergraduate or Masters student, pursuing a degree in business, engineering, computer science, economics or other relevant field of study.
- Excellent skills with the Microsoft Office suite of programs.
- Academic studies or experience with analytical software (e.g., R, Python, SAS).
- Demonstrated ability to research primary and secondary sources and apply basic analytical techniques.
- Skill in managing multiple activities, delivering on commitments, and operating with speed, accuracy, and strong judgment.
- Strong work ethic.
Please submit one file that includes both your cover letter and resume.