Energy Data Analysis - (Year-Round) Graduate Internship

About the role

NLR seeks a Year-Round Graduate Intern for a Renewable Energy Data Analysis role. The intern will support various tasks related to renewable energy data analysis and data collection, focusing on behind-the-meter solar analysis in NLR's Strategic Energy Analysis Center.

Responsibilities

• Data collection, cleaning, and analysis related to solar permitting, inspection, and interconnection
• Leveraging LLMs and other tools for web scraping and data collection to produce novel datasets for industry insights
• Support research projects examining distributed solar policies and other energy-related market analysis
• Data collection and analysis for renewable energy supply options for large non-residential, commercial and industrial renewable energy buyers

Requirements

• Expertise in data collection, organization, cleaning, and manipulation and familiarity with at least one software tool to scrape, manage, visualize, and analyze
• R or Python preferred
• Personable, professional, and comfortable engaging with stakeholders

Qualifications

• Minimum of a 3.0 cumulative grade point average
• Undergraduate: Must be enrolled as a full-time student in a bachelor’s degree program from an accredited institution
• Post Undergraduate: Earned a bachelor’s degree within the past 12 months
• Graduate: Must be enrolled as a full-time student in a master’s degree program from an accredited institution
• Post Graduate: Earned a master’s degree within the past 12 months
• Graduate + PhD: Completed master’s degree and enrolled as PhD student from an accredited institution

Additional Required Qualifications

• Strong research, data analysis, consolidation, and writing skills
• Experience with data collection using approaches like web scraping
• Strong background with coding languages like R and/or Python

Preferred Qualifications

• Background in qualitative and quantitative data analysis
• Great attention to detail and excellent research, written communication, organizational, and Excel and PowerPoint skills
• Interest in creative problem solving for novel data collection and processing efforts