Research Analyst 3 w/ Oregon Dept of Energy (Salem/Hybrid)

Oregon Job Opportunities - GIS Analyst (RA3)

Application Deadline:
01/15/2024

Agency:
Department of Energy

Salary Range:
$4,751 - $7,291

Position Type:
Employee

Position Title:
Research Analyst 3 (GIS Analyst) – Hybrid Remote Work Opportunity

Job Description:
WORKING AT THE OREGON DEPARTMENT OF ENERGY
At the Oregon Department of Energy, we're helping shape the state's energy future. Our team is dedicated to keeping Oregon on the leading edge of renewable energy and efficiency while supporting energy innovation, investment, equity, and resilience. From helping Oregonians save energy at home; to overseeing the state's interests in the world's largest environmental cleanup at the Hanford nuclear site in Washington, our work is challenging, rewarding, and diverse. We work with developers and communities on proposed energy facilities, with schools and manufacturers looking to save energy and money, and with other agencies and stakeholders on meeting the challenges of climate change. Oregon is one of the most energy-efficient states in the country, routinely landing near the top of annual national rankings. ODOE is committed to helping Oregon remain an energy leader, and that starts with hiring engaged team members ready to deliver for all Oregonians.

The Energy Planning & Innovation (P&I) Division supports the agency mission by pursuing programs and policies that help Oregonians conserve energy, use energy more efficiently, and produce energy using renewable sources. The Division’s two sections: Energy Efficiency & Conservation and Energy Technology & Policy collaborate with the Department’s other divisions and stakeholders to help support the development of clean energy resources and integrate those resources into the State’s transmission and distribution system. The division offers energy expertise DAS Form – 2006 Page 2 of 6 across sectors, including efficiency in buildings and manufacturing as well as alternative fuels and infrastructure, while helping Oregon build a more resilient energy system – one that is well prepared to respond to issues such as climate change and natural disasters. The division also helps the State pursue strategies to reduce greenhouse gas emissions through energy efficiency, renewable energy, and sustainable transportations.

WHAT YOU WILL BE DOING
You will provide research, statistical analysis, financial forecasting/modeling, and technical GIS support to the Energy Planning & Innovation Division and other ODOE program areas. This includes selecting, applying, and interpreting complex statistical analytical and forecasting techniques, designing computerized models, and analyzing and presenting the results in narrative and/or graphic form. This position serves as a project analyst on research studies for one or more divisions. The position is also responsible for designing, implementing, and evaluating research methodologies and applying analytical techniques and concepts to research studies, and statistical and fiscal projects.

This position is eligible for a hybrid remote work schedule. The incumbent will be expected to work at the central workplace located at 550 Capitol St. NE in Salem, Oregon, at least eight times per year. This generally includes attendance at pre-scheduled in-person all-staff meetings. The position may also be required to work at the central workplace on a more frequent basis with advance notice, as needed.

For a complete listing of the duties and responsibilities for this position, please review the position description by clicking here.

WHAT’S IN IT FOR YOU
You will be a member of a diverse team built on collaboration and support.

We offer full medical, vision, and dental benefits with paid sick leave, vacation leave, personal leave, and 11 paid holidays a year.

This is a full-time, limited duration, classified service position that is not represented by a union.

Limited duration positions are benefit-eligible positions with a designated maximum length of service. This position is expected to end on or before June 30, 2028.

MINIMUM QUALIFICATIONS

• A Bachelor's Degree in any discipline that included six-quarter units in statistics or quantitative analysis methods and procedures, and one year experience using computerized applications to independently gather, compile, and analyze data and prepare narrative or statistical reports;
  -OR-
• Four years of research experience using computerized applications to independently gather, compile, and analyze data and prepare narrative or statistical reports.

In addition to the above requirements this position requires:

• Experience using advanced statistical or quantitative analysis computer applications

The most successful candidate will also have the following skills, experience, and background:

• Ability to compile data, map layers, and other geospatial information in order to clearly and accurately answer identified questions and data needs that support the work of a team or agency.
• Previous experience researching and identifying credible geospatial data resources; conducting technical assessment of data fitness and relevance to project or program goals.
• Ability to determine appropriate statistical techniques, including forecasting and modeling methods, to accomplish the desired analysis.
• Experience presenting analysis and findings clearly and concisely in written and oral format to agency staff and other agencies or groups. This includes translating complex information into a format that is easy to understand and appropriate for the target audience.
• Excellent project management techniques exhibiting the ability to plan, execute, monitor, and review tasks to achieve deliverables and goals.
• Previous experience performing data collections and extractions, data entry and analysis, data transformation, data management, and data validation in coordination with Agency staff.

Studies have shown that women, trans, non-binary, Black, Indigenous, and other People of Color are less likely to apply for positions unless they believe they meet all the desired attributes. We are most interested in finding the best candidate for the position. We strongly encourage candidates to apply, even those who might not believe they possess every one of the desired attributes. Applicants who most closely exhibit the desired attributes will be invited to continue in the application process.