Are you ready to use your problem-solving and analytics skills to help key energy stakeholders develop an actionable path to a safe, reliable, equitable, and carbon-free electric grid?

Are you passionate about learning from the experts in the industry while applying your unique, experimental, and innovative ideas to develop the industry's next generation of inspiring solutions?

DNV - Energy Systems' Analytics and Digitalization group is seeking an Energy Policy Statistical Analyst to join our team. Join our team as we conduct research to understand the impacts and optimize the strategies of utility-scale energy efficiency, demand response, and distributed energy resource programs. This role will involve strategic problem solving by synthesizing your skills in analytics, statistics, programming, data visualization, and awareness of industry-relevant topics, to develop on-point analyses, reports, and presentations.

This position is based out of our Madison, WI office, although it is possible that it can be filled out of the following DNV offices: Portland, OR, Portland, ME, North Andover, MA, Medford, MA, Oakland, CA, or New York, NY, presenting a dynamic hybrid schedule where employees will typically spend three (3) days per week working from either a DNV office or client location/site. Further details regarding role-specific requirements will be shared during the interview process.

What You’ll Do

This role will include a mixture of analytics, task management, and communication responsibilities. Below we include a list of a wide range of typical job expectations for this position, however the role can be flexible and versatile.

Analytics

• Apply your deep curiosity to a diverse and expanding set of technical challenges that will support the transition to a decarbonized grid.
• Clean and prepare large datasets for analysis.
• Proactively check all work for errors.
• Develop and implement study designs using RCT and RED methods.
• Apply matched comparison algorithms.
• Design survey samples and perform post-survey analysis of results to provide statistically valid insights.
• Estimate site-level and panel energy consumption regression models using time of week and temperature, change point, or other models for thousands of customers.
• Develop short-term  and long-term impact results across multiple population characteristics.
• Conduct other ad-hoc regression, statistics, algebraic, and numerical calculation tasks to aid in determining impact of demand response and energy efficiency programs.
• Follow analytical trends in the energy industry.
• Maintain existing programmed analyses and identify potential improvements to be made.
• Demonstrates foundational AI literacy by using approved AI tools for routine analytical and communication tasks, writing clear prompts, recognizing tool limits, staying curious and flexible as tools evolve.
• Take ownership for the quality and reliability of AI-assisted work by reviewing outputs for accuracy, bias, and fit before using them. 

Task Management

• Design quantitative and qualitative analyses to answer customer questions within time, scope, and budget constraints. 
• Communicate proactively with project managers, subject matter experts, and other team members to ensure that tasks are completed within the project requirements.

Behavior and Communication

• Contribute to reports and presentations by writing concise methods, key findings, and recommendations.
• Communicate proactively and effectively with staff of all levels to find information, learn new skills, troubleshoot problems, and address complex issues.
• Present and write about the technical information in a meaningful and impactful manner to a range of stakeholders and clients.
• Develop and maintain positive relationships with colleagues and clients.
• Self-manage to ensure quality results are delivered for each task, including ensuring the best methods are used, methods are used correctly, results are correct and logical, and tasks are performed on time.