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Energy Policy Analyst at DNV in Portland, OR
Skills
Job Description
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 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 can be located in our Portland, OR; Madison, WI; Medford, MA; Oakland, CA; and Portland, ME offices, 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.
Other DNV offices may also be considered.
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.
What You’ll Do
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.
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.
Responsibilities
- 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**
For 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 a wide array of factors, including but not limited to 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.
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 received relating to accommodation will be addressed confidentially.
For more information :
https://www.eeoc.gov/know-your-rights-workplace-discrimination-illegal
Qualifications
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.
- A 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.
- Please submit a 1-page cover letter along with your resume when applying. In your cover letter, please describe a research project in which you have participated. Briefly describe your role, research approach, results, and how you shared the results.
- Experience in the Energy Industry is Preferred
**Immigration-related employment benefits, for example visa sponsorship, are not available for this position**