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Senior Engineer: Forecasting Analysis

Job in Richmond, Henrico County, Virginia, 23214, USA
Listing for: Dominion Energy
Full Time position
Listed on 2026-01-25
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineer, Electrical Engineering, Data Science Manager
Job Description & How to Apply Below

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Dominion Energy is committed to providing reliable, affordable, and increasingly clean energy that powers our customers every day. If you want to work for a purpose-driven company that values safety and collaboration, we’re looking for you. You won’t just find a job here; you’ll find your career. Review the position below and apply today.

We offer a hybrid 3-2 work schedule (three days in the office, two days of teleworking) to accommodate the need for flexibility.

Military service members and veterans with ranks from E5-E9, W1-CW5, or O3-O6, plus appropriate equivalent combination of education and years of experience as outlined below will be considered for this opportunity.

We Strive to Drive Power Innovation Through Data

The nature of the grid is in flux – we on the Engineering Analytics & Modeling team see this challenge and aim to rise to the occasion. Our team mandate is simple: we aim to bridge the gap between real-world system data and generate innovative capabilities and provide consumable business intelligence to help steer the future of how we monitor and manage the grid.

Our team is responsible for the capture, utilization, and application of time-series data. Our work is to steward this data and ensure its analysis and outputs influence our business and the industry to adapt and meet the demands of shifting energy landscape. We seek the curious, the self-motivated, and those driven by the pursuit of driving change.

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 selected 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

5+ years of engineering experience, preferably in electric power systems. This role requires a strong foundation…

Position Requirements
10+ Years work experience
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