What You’ll Be Doing
Qualified candidate will support senior staff in advising utility, government, non-profit, and corporate clients on a range of complex utility demand side management (DSM) issues related to distributed energy resources, renewable energy, decarbonization, demand response, energy efficiency, flexible load resources, equity, sustainability, and retail rate design.
Who We Are
At Cadmus, we recognize that solving the world’s most challenging problems can’t be accomplished alone or with cookie-cutter solutions. That’s why we look for team players and problem solvers who are driven to use their unique perspectives and intellectual curiosity to help deliver breakthrough solutions that achieve transformative goals. On the Cadmus team, you’ll collaborate with leading experts to help our clients across the globe.
Cadmus’ mission is to deploy industry-leading expertise to help our clients achieve extraordinary results that strengthen society and the natural world. We offer competitive compensation, outstanding health care and retirement benefits, a vibrant and collaborative work environment, and opportunities for professional growth. We are committed to advancing diversity and fostering a culture of equity in the workplace and across society, and we strive to maintain an inclusive environment where all employees feel connected, respected, and valued.
Join Cadmus. Let’s solve the world’s most challenging problems together.
Responsibilities
Perform research, data collection, quantitative data analysis, and reporting tasks to support consulting engagements with clients, including those related to transportation and building electrification, DSM and renewable energy potential or planning studies, and DSM program and policy evaluations
Conduct primary and secondary data collection and statistical and econometric data analysis to assess program and policy impacts
Assist translating data into meaningful conclusions and actionable recommendations for energy utility clients
Assist with developing client PowerPoint presentations, memos, and reports
Work closely with project team members to accomplish project goals
Qualifications
BA/BS in economics, statistics, data science, or other quantitative social scientific field and 0-2 years experience
Undergraduate level understanding of econometrics and inferential statistics
Experience with statistical software programs such as R, Python, SAS, or Stata
Excellent written and verbal communications skills
Initiative and ability to prioritize and self-direct on assignments, including adapting to changes in a time-sensitive, deliverable driven workplace
Desire to grow professionally and take on challenging work assignments
Proficient in MS Office applications, including Word and Excel
