Dominion Energy is looking to drive power innovation through data by bridging the gap between real-world system data and generating innovative capabilities to help steer the future of how they monitor and manage the grid.
Requirements
- Python & Excel Analysis: Python is our analysis tool of choice for analysis and modeling.
- Data Visualization (Power BI preferred): Candidates will use visualization dashboards and visual narratives that make complex data accessible and actionable.
- Advanced Storytelling: What stories and how we present forecasts is a critical function of success.
- Critical thinking and problem framing: Candidates are expected to challenge assumptions, explore ambiguity, and help the team focus on the most meaningful questions.
- Utility domain knowledge: Familiarity with how forecasts are used in grid operations, planning, and regulatory reporting.
- Strong foundation in engineering thinking and systems analysis to understand the context and implications of forecast data.
- Experience with electric power systems
Responsibilities
- Problem Frame Effectively: Candidates will help the team and stakeholder focus on establishing the right questions to ask of our data products.
- Serve as the Engagement Keystone: Candidates must bridge between technical modeling teams and customers of our forecasts.
- 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.
- Tell Compelling Stories with Data: Data alone doesn’t produce change — data with stories does.
- Provide a Feedback Loop: As we analyze data, we often encounter gaps, inconsistencies, or opportunities for refinement.
- Quality, Consistency, and Alignment: The select candidate is responsible for the final presentation of work before it is engaged by a customer.
- Challenge assumptions, explore ambiguity, and help the team focus on the most meaningful questions that support the forecast work needed by varying stakeholder groups.
Other
- Strong communication and collaboration skills: This role is driven by soft skills and robust technical fluency.
- Bachelor’s in Engineering: Required Degree (equivalency not accepted in lieu of required degree).
- Preferred Discipline: Electric Power Systems Engineering
- Office Work Environment 76 -100%: Travel Up to 25%
- 4-year Engineering degree from an ABET accredited Engineering program
