Forecasting Analysis: Engineer/Senior/Staff

Job Summary

As part of the Strategic Initiatives team within Electric Transmission, this role focuses on the delivery and communication of load forecasting insights. You will work closely with forecast modelers, data engineers, and a wide range of stakeholders to ensure that forecast outputs are transformed into clear, compelling, and actionable information. A successful candidate will:

• Problem Frame Effectively: Candidates will help the team and stakeholder focus on establishing the right questions to ask of our data products. Candidates must drive the exercise of establishing problem definition and ensure our work and efforts work well towards meeting stakeholder needs.
• Serve as the Engagement Keystone: Candidates must bridge between technical modeling teams and customers of our forecasts. We seek strong skills in distilling complex data into clear products that ensure our engineers, planners, and regulators can act on insights with confidence and understanding of the explicit and nuanced parts of our forecast work. Candidates should understand the jobs-to-be-done by our customers to ensure that the products and services we deliver address their needs.
• Develop Targeted Data Products & Visualizations: From recurring dashboards to ad-hoc reports and executive presentations, candidates will be responsible for producing varying formats of visualizations that ensure our forecast are presented in a way that articulates our observations and anomalous findings in a way that is understood by non-expert and expert customers.
• Tell Compelling Stories with Data: Data alone doesn’t produce change — data with stories does. Candidates will be expected to craft compelling narratives that connect data analysis to the business needs of our customers, helping stakeholders understand not just what the data says, but why it matters to them and how they can put it into action.
• Provide a Feedback Loop: As we analyze data, we often encounter gaps, inconsistencies, or opportunities for refinement. We expect the candidate to engage with our data engineers and modelers to help identify and target areas for improvement ranging from data acquisition to forecast production.
• Quality, Consistency, and Alignment: The select candidate is responsible for the final presentation of work before it is engaged by a customer – there should be a focus on validating assumptions, investigating anomalies, and ensuring that what we deliver is explainable, replicable, and business-ready when moved to production.

Required Knowledge, Skills, Abilities & Experience

Engineer: 2+ years of engineering experience

Senior Engineer: 5+ years of engineering experience  

Staff Engineer: 8+ years of engineering experience

Preferably in electric power systems. This role requires a strong foundation in engineering thinking and systems analysis to understand the context and implications of forecast data. Additional skills required include:

• Python & Excel Analysis: Python is our analysis tool of choice for analysis and modeling – while we do tie into other technologies, the bulk of our analysis happens in this space and can be augmented by strong skills in Excel.
• Data Visualization (Power BI preferred): Candidates will use visualization dashboards and visual narratives that make complex data accessible and actionable through interactive displays.
• Advanced Storytelling: What stories and how we present forecasts is a critical function of success. Candidates will be responsible for presentations to leadership and external stakeholders alike; candidates should have an ability to build and deliver meaningful and impactful stories relevant to the work and information needed by the consumers of our forecasts.
• Strong communication and collaboration skills: This role is driven by soft skills and robust technical fluency. Candidates must listen actively, build trust with customers/supporters, and work across business unit lines to deliver value for the Electric Transmission business unit and the enterprise at large. The mindset of a successful candidate is one built on working together with the varying disciplines that build our forecasting capability at large.
• Critical thinking and problem framing: Candidates are expected to challenge assumptions, explore ambiguity, and help the team focus on the most meaningful questions that support the forecast work needed by varying stakeholder groups.
• Utility domain knowledge: Familiarity with how forecasts are used in grid operations, planning, and regulatory reporting will help you deliver more relevant and impactful insights – we welcome candidates who understand the utility application of a load forecast and how action can be taken from this data. Professional ethics and a commitment to quality: You’ll be working with sensitive and high-impact data. Integrity, accuracy, and accountability are essential.

Education Requirements

Required Degree (equivalency not accepted in lieu of required degree):

Bachelor’s in Engineering

Preferred Discipline: Electric Power Systems Engineering

Licenses, Certifications, or Quals Description

Note: Dominion Energy minimum experience and education requirements may exceed stated ANSI standards and candidates must meet the Dominion Energy minimum requirements.

For Nuclear employees, this ANSI standard must be met, all of which is met or exceeded in the Engineer series job summaries with the exception of the Nuclear Power experience requirement of at least 1 year:

ANSI/ANS-3.1-2014, Section 4.6.1 Education requirements: Baccalaureate or associate degree in engineering or related science. Minimum experience for the position: Related experience which shall include 2 years; Nuclear power plant experience to include 1 year.

Working Conditions

Other Working Conditions

Test Description

No Testing