Energy Policy Statistical Analyst

DNV GL
Madison, WI, United States
21 days ago
Apply on jobs.localjobnetwork.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Artificial Intelligence Data Analysis Big Data

Job description

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.

Requirements

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?

About the company

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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on jobs.localjobnetwork.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

1:48 min

Automating exploratory data analysis within training pipelines

Dora Petrella · World Congress 2023

3:46 min

Core terminology and audiences for interpretable artificial intelligence

Karol Przystalski · LIVE

1:56 min

Leveraging data and AI for the energy transition

Farooq Sheikh Farooq Sheikh +3 · World Congress 2025

2:10 min

Why organizations combine big data and machine learning

Ayon Roy · LIVE

5:28 min

Visualizing energy metrics and flexibility simulations

Michele Giacobazzi Michele Giacobazzi · Europe 2026 Virtual

Videos

See all

Related articles

See all