Energy Policy Analyst

The Accreditation Council for Graduate Medical Education is seeking an Energy Policy Analyst in Portland, ME. The role involves using analytical skills to assist stakeholders in developing a carbon-free electric grid. Responsibilities include conducting research, analyzing data, and communicating findings. The position offers a hybrid work schedule, requiring approximately three days on-site per week, while also considering other DNV office locations.
Overview
We are the independent expert in assurance and risk management. Driven by our purpose to safeguard life, property, and the environment, we empower our customers and their stakeholders with facts and reliable insights so that critical decisions can be made with confidence. As a trusted voice for many of the world’s most successful organizations, we use our knowledge to advance safety and performance, set industry benchmarks, and inspire and invent solutions to tackle global transformations.


About Energy Systems
We help customers navigate the complex transition to a decarbonized and more sustainable energy future. We assure that energy systems work safely and effectively, using increasingly digital solutions, and help industries and governments navigate many complex, interrelated transitions in the energy industry.


About the role
Join the Energy Policy Analyst position in our Analytics and Digitalization group. Use your problem‑solving and analytics skills to help key energy stakeholders develop a safe, reliable, equitable, and carbon‑free electric grid. You will conduct research, understand impacts, and optimize strategies of utility‑scale energy efficiency, demand response, and distributed energy resource programs.


Location options: Portland, OR; Madison, WI; Medford, MA; Oakland, CA; Portland, ME, with dynamic hybrid schedules (≈3 days per week on site). Other DNV offices may also be considered.


What You’ll Do
Analytics

Apply deep curiosity to diverse technical challenges supporting decarbonized grid transition.
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 to provide statistically valid insights.
Estimate site‑level and panel energy consumption regression models using time of week, 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 determining impact of demand response and energy efficiency programs.
Follow analytical trends in the energy industry.
Maintain existing programmed analyses and identify potential improvements.

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 teammates to ensure tasks are completed within 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 technical information in a meaningful and impactful manner to stakeholders and clients.
Develop and maintain positive relationships with colleagues and clients.
Self‑manage to deliver quality results on time, ensuring best methods are used correctly and logically.

What We Offer

Generous paid time off (vacation, sick days, company holidays, personal days)
Multiple medical and dental benefit plans to choose from; vision benefits
Spending accounts: FSA, Dependent Care, Commuter Benefits, company‑seeded HSA
Employer‑paid, therapist‑led virtual care services through Talkspace
401(k) with company match
Company‑provided life insurance, short‑term, and long‑term disability benefits
Education reimbursement program
Flexible work schedule with hybrid opportunities
Charitable matched giving and volunteer rewards through our Impact Program
Volunteer time off (VTO) paid by the company
Career advancement opportunities

Benefits vary based on position, tenure, location, and employee election.


Compensation (California, Washington, New York, Washington, D.C., Illinois, and Maryland)
DNV provides a reasonable range of compensation for this role. The actual compensation is influenced by skill set, level of experience, and specific location. For the states of California, Washington, New York, Washington, D.C., Illinois, and Maryland only, the starting pay range for this role is $76,000–$100,000.


Equal Employment Opportunity Statement
DNV is a proud equal opportunity employer committed to building an inclusive and diverse workforce. All employment is decided on the basis of qualifications, merit, or business need, without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. DNV is committed to ensuring equal employment opportunity, including providing reasonable accommodations to individuals with a disability. US applicants with a physical or mental disability who require a reasonable accommodation for any part of the application or hiring process may contact the North America Recruitment Department (hrrecruitment.northamerica@dnv.com). Information related to accommodation will be addressed confidentially.


For more information: https://www.eeoc.gov/know-your-rights-workplace-discrimination-illegal


About You
What is Required

Degree in economics, statistics, quantitative social science, or other analytical discipline. Bachelor’s degree required.
Experience applying statistical skills to challenging data problems and demonstrated ability to communicate empirical work effectively to a wide range of audiences.
Proven grasp of one or more programming or statistics software languages such as Python, SAS, or R.
Econometrics, statistics, or biostatistics coursework or experience, preferably at the graduate level.
Strong written and verbal English communication skills.
We conduct pre‑employment drug and background screening.

What is Preferred

Master’s degree preferred.
Experience in the Energy Industry is preferred.

Immigration‑related employment benefits, for example visa sponsorship, are not available for this position


We ask applicants to submit a 1‑page cover letter describing a research project they participated in. Briefly describe your role, research approach, results, and how you shared the results.