Planning Analyst, Vegetation Management Risk

At PGE, our work involves dreaming about, planning for, and realizing a smarter, cleaner, more enduring Oregon neighborhood. Its core to our DNA and we haven’t stopped since we started in 1888. We energize lives, strengthen communities and drive advancements in energy that promote social, economic and environmental progress. We’re always on the lookout for people passionate about leading and being a part of teams that are advancing innovative clean energy solutions that are also affordable and accessible to all.

Summary

As a Principal Planning Analyst, you will have the unique opportunity to provide cross-functional and enterprise-wide analytical support, focusing on wildfire mitigation and routine maintenance strategies within the Asset & Wildfire Risk team. You will lead data-driven initiatives, develop predictive analytics, and serve as a key subject matter expert for operational metrics, contributing to PGE's safe and reliable power delivery. A successful candidate will have advanced knowledge of statistics, metrics, and data visualization, coupled with expert skills in analytical thinking and advanced risk management capabilities.

Key Responsibilities

Specialization

• Typically provides cross-functional or enterprise-wide analytical support.

• Works with GIS, IT, and Vegetation Management analytics teams to maintain and enhance metrics reporting processes, dashboards, and reporting platforms.

Reporting

• Proactively anticipates cross-functional data and analytic needs and, in collaboration with subject matter experts, develops reports.

• Leverages subject matter experts to obtain data from multiple systems. Develops, maintains, and continually improves reporting processes.

• Develops reporting format to meet user needs, customizing analytics and visuals.

• May provide data for compliance reporting. Ensures data security and integrity.

• May identify and mitigate data risks.

Strategy and Planning

• May coordinate or oversee cross-functional or enterprise-wide scorecard processes, including identifying and gathering data and analytics to use, proposing new or modified operational performance metrics, and engaging stakeholders to ensure alignment.

• Gathers and analyzes metrics to support decision-making for advanced wildfire risk reduction (AWRR) and routine vegetation management (RVM) planning.

• Contributes to Wildfire Mitigation Plan development and vegetation-related compliance programs.

• Assists in planning and prioritization for vegetation management activities.

Data Management

• Depending on specialty area assigned, may manage data related to budget, position management, and/or operational performance metrics.

• Administers databases or other data repositories and identifies system issues to escalate.

• Interfaces with Vegetation Management, GIS, IT, and PMO teams.

• Obtains data from external studies or sources and ensures compliance with state and federal vegetation clearance and wildfire mitigation requirements.

• May design or administer database or other data repositories, including performing configuration or implementing upgrades.

• May design and perform user acceptance testing.

• May obtain data from external studies or sources.

Analysis

• Proactively analyzes complex data from multiple sources and develops regular and predictive analytics.

• Conducts benchmarking and identifies differences and trends.

• Develops models and simulations.

• Creates meaningful visuals.

• Identifies risks and recommends mitigation strategies.

• Utilizes machine learning, programming, and other tools to support data analysis and visualization. Specific tool may include: Python, R, Excel, ArcGIS, ArcGIS Field Maps, and QuickBase.

• Focuses on descriptive analytics and their integration into predictive modeling or advanced statistical techniques.

Consulting

• Serves as an enterprise-wide or cross-functional analytics and operational subject matter expert.

• Proactively provides data-based solutions to anticipated business needs.

• Leverages data analytics to identify risks and provide decision-making guidance to facilitate business outcomes.

• Makes data-based planning and operating recommendations.

• Provides data and analytics to inform business decisions.

• May quantify risks.

• Collaborates cross-functionally to further enhance vegetation-based risk modeling.

• Works with meteorologists, risk analysts, and data scientists to integrate forestry knowledge into predictive modeling.

Projects and Initiatives

• Leads cross-functional data-driven initiatives and projects.

• Serves as a key subject matter expert for vegetation-related operational metrics and for analytics for key projects and initiatives.

• Responds to changing conditions, including severe weather and regulatory updates, as needed.

Qualifications

Education:

• Requires a bachelor’s degree in business, Finance, Statistics, Psychology, Forestry, Ecology, Environmental Science, or other related fields, or equivalent experience.

• Certification in ArcGIS or related analytics tools is a plus.

• ISA Certified Arborist preferred (knowledge of tree biology and characteristics is an advantage).

Experience:

• Typically, eight or more years in statistics, finance, process improvement, project management, or a related field.

• 2-3 years of experience in vegetation management analytics, forestry, or environmental resource planning preferred.

• Familiarity with wildfire mitigation or routine vegetation maintenance is a plus.

• Familiarity with integration of sensor data into vegetation analytics is a plus.

• Experience with machine learning or AI-driven predictive analytics for wildfire risk is a plus.

Valid driver’s license required.

Competencies

Functional Competencies:

• Advanced knowledge of statistics, metrics, and data (e.g., correlation coefficients, regression analysis, Monte Carlo simulations, etc.).

• Expert skills in using analytic tools.

• Advanced skills using data systems specific to department.

• Intermediate skills in managing competing priorities.

• Advanced skills in synthesizing information and complex data and communicating to diverse audiences.

• Intermediate knowledge of PGE's operational practices.

• Intermediate skills in project management.

• Advanced knowledge of data integrity and security.

• Advanced skills in data visualization and presenting data to diverse audiences.

• Advanced knowledge of statistics.

• Advanced customer focus skills.

General Competencies:

• Expert skills in analytical thinking.

• Advanced skills in problem-solving.

• Advanced oral and written communication skills.

• Intermediate interpersonal skills.

• Advanced decision-making skills.

• Advanced organization and prioritization skills.

• Advanced knowledge of business process interrelationships.

• Advanced business acumen.

• Intermediate skills in change leadership.

• Advanced risk management skills.

Physical, Schedule/Attendance and Cognitive Demands

Cognitive Level:

Cognitive:

• Ability to adhere to set response times, deadlines, and time-sensitive tasks.

• Ability to follow accuracy standards.

• Ability to interact effectively and collaboratively within a team environment.

• Ability to communicate and problem-solve when under stress.

• Ability to respond and adapt to frequent change.

• Ability to discern feedback and acknowledge ownership of areas of improvement.

• Ability to process new information to be applied consistently to work tasks.

• Demonstrates sound memory.

Schedule/Attendance:

• Ability to work long hours and a variable schedule.

• Ability to report to work and perform duties during periods of severe inclement weather.

• Ability to consistently meet attendance standards for regular, reliable, predictable full-time attendance.

• Ability to work  on-call schedules.

Physical Capabilities:

• Computer use (use computer regularly for entire work shift).

• Driving/travel/commute: Daily within service territory – Frequently (at least once a week or more).

Compensation Range:

Actual total compensation, including a performance based incentive bonus, is commensurate with experience, skills, qualifications, education, training, and internal equity. While we anticipate the selected candidate for this position will fall towards the middle or entry point of the compensation range, the decision will be made on a case-by-case basis.

PGE believes in rewarding dedicated performance. We provide a total rewards package that is designed to reward your contributions to the company, and, at the same time, support your well-being and professional development, both now and into the future. To find out more, click here.

Join us today and power your potential!

Assisting with storms or other Company emergencies is a part of all positions at Portland General Electric.

PGE is committed to diversity and inclusion in the workplace and is an equal opportunity employer. PGE will not discriminate against any employee or applicant for employment based on race, color, national origin, gender, gender identity, sexual orientation, age, religion, disability, protected veteran status, or other characteristics protected by law.

PGE does not discriminate on the basis of disability. We recognize individuals have a variety of abilities to offer and we believe there is much to value and celebrate by incorporating different abilities into the work we do. One very important way we live this out is in our application and interview process. We work hard to support individuals who may need an accommodation to fully participate in these processes. If you feel you may need an accommodation, or would like to request one, please notify the Talent Acquisition Specialist (Recruiter) associated with the job posting. You may also make this request by contacting talentacquisition@pgn.com or by calling 503-464-7250. The Recruiter will provide information and next steps for the accommodation process.  Our Diversity, Equity & Inclusion (DEI) team is also available for support.  You can contact them at dei@pgn.com.

To be considered for this position, please complete the following employment application by the posting close date.  Posting closes at midnight (Pacific Time) on the closing date below. If no date is listed, job is open until filled.