Energy Analyst – Statistics and Analytics

Overview

What You’ll Be Doing

Qualified candidate will advise 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, fostering a culture of equity in the workplace and society, and maintaining an accessible and inclusive environment where all employees feel connected, respected, and valued.

Join Cadmus. Let’s solve the world’s most challenging problems together.

Responsibilities

• Assist in designing and implementing sampling and weighting methods to meet required levels of statistical rigor and complexity.
• Articulate key assumptions to ensure efficient and representative data collection.
• Conduct independent analysis using standard and advanced statistical techniques.
• Interpret findings to reach actionable conclusions and recommendations in support of client research goals.
• Ensure high-quality client deliverables.
• Adhere to best-practices for statistical programming with transferable, clear, organized, well-documented analysis code.
• Collaborate with and support project team members to accomplish project goals.

Qualifications

• MA / MS in economics, statistics, mathematics, data science, or other related quantitative fields with 0 to 2 years of relevant professional experience OR a BA / BS with 2 to 4 years of relevant professional experience.
• Proficient in MS Office applications, including Word and Excel.
• Experience with statistical software programs such as R, SAS, or Stata.
• Demonstrated experience with inferential statistics, specifically sample design, inferential analysis, and regression analysis.
• 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.

Desired Qualifications :

• Familiarity with or work experience in the energy sector and / or utility industry.
• Applied research design experience in academic or professional setting, preferably consulting.
• Programming experience in R or Python.
• Demonstrated experience with deploying interactive web apps with the use of R-Shiny (or other similar platforms, such as Flask, Fast-API).
• Proficient with Microsoft Excel.
19 days ago