Junior Energy Data Analyst

About the Role

The qualified candidate will apply knowledge and experience with statistical and economic analysis to support senior staff in delivering consulting services to utility, government, non-profit, and corporate clients. They will work on a range of complex issues related to demand side management (DSM).

Key Responsibilities

• Perform research, primary and secondary data collection, statistical and econometric data analysis, and reporting tasks to support consulting engagements.
• Analyze collected data and synthesize research findings to resolve research questions, identify trends, and derive insights relevant to client objectives.
• Translate research findings and analysis results into meaningful conclusions supported by demonstrable data and develop actionable recommendations for energy utility clients.
• Write report sections that clearly explain research findings and analysis results, methodologies, and data sources.
• Assist with developing client PowerPoint presentations, memos, and reports, including creating Excel-based figures.
• Conduct detailed reviews of project deliverables to ensure high-quality, accurate, and error-free work.
• Collaborate with project teams and staff manager to plan time effectively and execute assignments.
• Work closely and actively communicate with project team members to accomplish project goals.
• Adhere to Cadmus standards for work quality, risk mitigation, administrative requirements, and team orientation.
• Communicate clearly and professionally (oral and written) with colleagues and clients.
• Work independently and collaboratively across Cadmus to deliver high-value solutions to clients.

Requirements & Tech Stack

• Familiarity with fundamentals of econometrics and inferential statistics.
• Experience with data transformation, visualization, and statistical programming using software such as R, Python, SQL, or Stata.
• Proficient in MS Office applications, including Word and Excel.

Qualifications

• BA/BS in economics, statistics, data science, or other quantitative social scientific field.
• 0-2 years of professional experience.
• Excellent written and verbal communications skills.
• Strong organizational and time-management skills with high attention to detail.
• Initiative and ability to prioritize and work independently on assignments, and adapt to changes in a fast-paced, time-sensitive, deliverable-driven workplace.
• Desire to grow professionally and take on challenging work assignments.
• Strong critical thinking and analytical skills.

Candidates must be eligible to work in the United States as a U.S. Perm Resident or U.S. Citizen.

The salary range for this position is $65,000 - $75,000.