Architects, builds, and deploys business-oriented analytics solutions.
Employs and maintains machine learning and statistical algorithms/models to support descriptive, predictive, and prescriptive analytics.
Provides technical consulting and leadership on complex projects.
Serves as technical expert in Computerized Data Analysis, Modeling, and Data Science within the business organization.
Works with domain experts to frame problems in a business context.
Embraces innovation and operational excellence by implementing processes and policies that create efficiencies.
Selects appropriate datasets and data representation methods.
Works within the business unit and collaborates with other business units, in multi-platform environments, on multiple project assignments.
Works on multiple data platforms and develops analytic solutions using multiple technologies and programming languages.
Monitors, evaluates, and communicates model performance and business impacts to customers.
Conducts requirements gathering and design sessions, defines and documents the scope and objectives for analytic use cases/solutions.
Develops effective analytics solutions for data in different formats and from various internal/external systems.
Serves as guide and mentor to less experienced analysts and leads cross-functional business team(s) on complex projects, as needed.
Performs statistical testing and evaluation to assess efficacy of the models/solutions before implementation.
Oversees scheduling and execution of jobs to ensure reliable, accurate, and timely delivery of forecasts and reports.
Requirements
python
sql
machine learning
tableau
7+ years
mentoring
Strong experience in adapting to and applying rapidly changing technology to business needs
Demonstrated ability to combine technical knowledge with business domain expertise
Demonstrated ability to research and understand customer processes and issues
Adapts to and applies rapidly changing technology to business needs.
Ability to handle deadlines and pressure with concern for quality
Advanced proficiency in utilizing tools such as Hadoop, Python, Spark, R, R Studio Shiny, SQL, Alteryx, Tableau, PowerBI, etc.
Ability to work with people from all levels of the organization in order to influence and impact others
Clearly articulates and presents analytic solutions and/or analytic insights to all levels of the business organization to optimize or improve processes.
Demonstrated competency in identifying and solving problems, and in logical and analytical thinking
Strong conceptual thinking and reasoning abilities
Expert level experience in machine learning, programming, querying, data structures, statistics, data visualization & communication with business stakeholders
Ability to work independently and to lead/mentor team of less experienced Quantitative Data Analysts
7+ years directly related experience in computerized data analysis, modeling, and data science
Benefits
Information not given or found
Training + Development
Information not given or found
Interview process
Information not given or found
Visa Sponsorship
dominion energy cannot transfer or sponsor a work visa or employment authorization for this position.
Serves over 7 million customers across multiple states.
Committed to sustainability, focusing on reducing carbon emissions and expanding its renewable energy portfolio, including wind, solar, and battery storage projects.
Operates a vast network of electric transmission and distribution lines and natural gas storage, transmission, and distribution pipelines.
Supplies electricity to parts of Virginia, North Carolina, and South Carolina, and natural gas to regions in Utah, Idaho, Wyoming, West Virginia, Ohio, Pennsylvania, North Carolina, South Carolina, and Georgia.
Dominion also operates generation facilities in Indiana, Illinois, Connecticut, and Rhode Island.
Culture + Values
It is vital to send every employee home safe and sound.
Our reputation depends on ethical behavior.
We pursue excellence in service to our customers every day.
By welcoming new ideas, we champion innovation.
Teamwork leads to strong, sustainable performance.
Environment + Sustainability
47% Reduction in CO2 emissions
Carbon Emissions Achieved
Significant decrease in carbon dioxide emissions from electric generation between 2005 and 2022.
2.6 gigawatts offshore wind farm
Renewable Energy Capacity
Largest offshore wind farm in the US, capable of powering over 660,000 homes.
Aims to achieve net-zero greenhouse gas emissions by 2050.
Inclusion & Diversity
22.8% Women
Female Workforce Representation
Percentage of women in the company's workforce.
22.2% Minority
Minority Workforce Representation
Percentage of minority employees in the company's workforce.
36% Women Board
Women on the Diverse Board
Percentage of women on the company's Diverse Board of Directors as of March 27, 2023.
Have active employee network groups focused on DEI topics.