Internship: Statistics & Analytics - 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 students. The pay rate is from $15 to $17 per hour based on current class year. This internship will begin in the Fall 2022 semester and continue through the Spring 2023 semester. 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 class.
- Research and analyze topics related to program analytics in energy markets, policies, and technologies
- Provide general analytical support, as requested
- Assist in compiling of large amounts of data over time, preparation of datasets, and data quality assurance
- Collecting and organizing information to help develop data segmentation and presentations as required by different departments at NYSERDA
- Creating charts, tables, and other tools to communicate data
- Present findings to internal clients
- Perform other responsibilities as assigned
- Current, full-time undergraduate or master’s student.
- Proficient in programs including Excel, Word, PowerPoint, Outlook and Adobe
- Statistical analysis (e.g., SAS, R, Python, SPSS) is required. Tableau and GIS abilities preferred, but not required
- Basic statistical knowledge such as hypothesis testing, sampling techniques, simple and multiple regression techniques
- Methodology of experimental design and quasi experiments preferred, but not required
- Analytical and organizational skills
- Policy analysis, research, and technical writing
- Ability to work with teams of people on projects
- 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.Apply Now