Energy Data Analyst

• Perform advanced data analysis and develop energy usage models using statistical techniques such as regression, multivariate analysis, and weather normalization.
• Support program design, implementation, and performance evaluation for commercial and industrial energy efficiency initiatives.
• Develop dashboards and data visualization tools using Python, R, Excel, SQL, and/or Power BI to communicate key performance indicators.
• Collaborate with internal teams and clients to support energy performance benchmarking, M&V analysis, and continuous improvement initiatives.
• Design and automate workflows and processes to improve data accuracy, timeliness, and reporting capabilities.
• Provide support for enrollment, compliance, and reporting functions within utility and energy management programs.
• Build and manage SharePoint and other program portals to facilitate document sharing, collaboration, and program tracking.
• Contribute to technical reports, executive summaries, and customer deliverables with clear, well-documented methodologies and insights.
• Participate in cross-functional collaboration with engineering, IT, and operations to develop solutions aligned with client goals.
• Support platform operations and become proficient in program systems and reporting tools.

• Bachelor’s degree in Engineering, Energy Systems, Environmental Science, Business, Economics, Data Science, or a related technical field.
• Minimum 2 years of experience in energy data analysis, technical consulting, utility programs, or process improvement.
• Strong proficiency in Excel and experience working with large datasets.
• Basic proficiency in Python, R, or similar tools for data analysis; familiarity with SQL for querying data.
• Experience with SharePoint, Power BI, Tableau, or similar BI tools preferred.
• Familiarity with Measurement & Verification (M&V) protocols and statistical methods for energy modeling.
• Excellent written and verbal communication skills, including the ability to present technical information to non-technical stakeholders.
• Self-starter with strong attention to detail and time management.
• Comfortable working independently or collaboratively in a fast-paced environment.

• Certifications such as CMVP or PMVE are a plus.
• Experience in the energy or utility sector, especially with SEM, demand response, or DSM programs.
• Advanced programming or data engineering skills (e.g., Python, R, STATA, SAS, JMP).
• Project planning and operational documentation experience.

• This position may require occasional travel.
• Flexible working arrangements may be available depending on project requirements.

• Medical, dental, vision, and disability insurance.
• 401k package that includes both traditional and Roth IRA options and Company match.
• Paid time off contingent upon full time or part time status and level of seniority (ranging from 15 to 25 days per year).
• All full-time employees enjoy a minimum of 8 Paid Holidays per year.
• TRC ensures that all employees, including those that work part-time, receive paid sick, family, and disability leave in accordance with the laws of their state of residence.

TRC Companies