Job Summary

The Business & Data Analytics team provides advanced data analytics support to multiple business units within the Company to answer complex questions about how our customers use energy at a geospatial level. This position focuses on providing analytical support to Dominion Energy Virginia’s Integrated Distribution Planning (IDP) effort, which is an emerging area of interest within our industry.
Responsibilities for this position include:

• Provide support to enhance grid planning efforts by conducting quantitative analysis on actual and forecasted load at a granular scale.
• Develop a detailed understanding of, as well as participate in advancement of company’s forecasts and methodologies, including statistical end-use models and exogenous models such as building & transportation electrification, distributed energy resources (DER) and data centers.
• Develop statistical models to build or improve forecasting for components including DER.
• Establish strong collaborative relationships with key stakeholder groups and individuals throughout the company.
• Prepare assorted strategic planning deliverables for senior leadership.
• Understand and incorporate as necessary internal drivers/initiatives and externalities in the strategic planning process across all DE businesses.
• Support other Business & Data Analytics-related activities as needed, such as demand-side planning (DSP), load research studies, and Advanced Metering Infrastructure (AMI) analytics.
• Perform other duties as requested or assigned.

The successful applicant will collaborate closely with both the Business & Data Analytics and Distribution Grid Planning teams, dividing their in-office time between both teams.

Required Knowledge, Skills, Abilities & Experience

Basic Qualifications:

• 2-3 years’ experience analyzing complex data and solving data-driven problems. Note: A partial year of related work experience of 6 months or greater will be considered as one year towards the qualifications.
• 1 years of experience working with large datasets

Preferred Qualifications:

• Experience with forecasting and statistical analysis
• Experience working with electric smart meter/AMI data
• Knowledge of utility econometric forecasting
• Basic understanding of geographic information systems (GIS) concepts
• Basic familiarity with electrical power system concepts
• Previous experience with LoadSEER, while not required, is a plus.

Knowledge, Skills & Abilities:

• Proficiency in one or more of the following languages: R, Python, and/or SAS
• Strong data science and extract/transform/load (ETL) skills, e.g., importing, cleaning, transforming, modeling, and visualizing data
• Working knowledge of relational database concepts and SQL
• Strong mathematical and statistical capabilities
• Extensive experience with Microsoft Excel
• Demonstrated ability to both think analytically and solve complex problems
• Ability to process information quickly and effectively, and manage multiple tasks

The company is actively seeking United States military veterans and servicemembers who meet the qualifications outlined above.

Education Requirements

Education Level: Degree or an equivalent combination of education and demonstrated related experience may be accepted in lieu of preferred level of education: Bachelor’s degree in Business Administration, Data Science/Decision Analytics, Mathematics, Science, Statistics, Economics

Licenses, Certifications, or Quals Description

Working Conditions

Other Working Conditions

Test Description