Sr Financial Data & Technology Analyst

Dominion Energy•Richmond, VA

1d•$90,900 - $118,100•Hybrid

About The Position

Dominion Energy is hiring a Senior Financial Data & Technology Analyst to identify and implement business-process improvements for Dominion Energy Virginia, with a focus on data analysis, automation, and data visualization. The role partners with segment finance teams to understand reporting challenges, manual work, data needs, and improvement opportunities, then translates customer requirements into practical data, reporting, visualization, and automation solutions. It provides customer support, troubleshoots data and reporting issues, and coordinates with business and technology partners. The analyst develops an understanding of finance processes such as budgeting, forecasting, variance analysis, financial reporting, and management decision support. The role analyzes financial and operational data, builds and maintains dashboards and reports, supports automation and repeatable data-preparation and validation processes, tests solutions, and creates documentation and training materials. It also monitors solutions, gathers customer feedback, recommends enhancements, supports adoption, and collaborates to ensure solutions follow security, governance, and data-management practices. The position follows a hybrid schedule of three days in the office and two days teleworking. The office work environment is listed as 76–100%, and travel may be up to 25%. Relocation assistance and work visa or employment authorization sponsorship are not available. The expected hiring base salary range is $90,900–$118,100. Benefits include health, dental, and vision coverage, vacation, retirement plans with 401(k) contributions and matching, paid holidays, tuition reimbursement, bonus eligibility, sick leave, and disability insurance.

Requirements

At least five years of directly related finance, data analytics, reporting, automation, or process-improvement experience. A master's degree counts as one year of experience; a partial year of six months or more is rounded up to one year.
Expert proficiency in Power BI to design, integrate, and support financial reporting, analytics, and automation solutions.
Strong knowledge of GAAP, accounting concepts, finance processes, and financial data.
Advanced experience with systems integration, automation, large-scale data preparation, database concepts, ERP systems, and financial planning applications.
Ability to design and deliver scalable dashboards, data models, reporting solutions, and automated processes.
Advanced understanding of forecasting, budgeting, variance analysis, and management decision support.
Ability to lead customer discovery, define business and technology requirements, and recommend sustainable solutions.
Ability to build trusted relationships, influence priorities, and communicate with finance leaders and cross-functional partners.
Ability to manage competing customer needs, independently resolve complex issues, and identify risks or dependencies.
Ability to improve solution adoption through documentation, training, customer feedback, and ongoing enhancements.
Bachelor's degree or an equivalent combination of education and demonstrated related experience may be accepted in lieu of the preferred education level.

Nice To Haves

Proficiency in Snowflake, SQL, Excel, and SAP is strongly preferred.
Preferred disciplines include Finance, Accounting, Data Science, Computer Science, and Data Analytics; other disciplines may be substituted.
Military service members and veterans with ranks from E5–E9, W1–CW5, or O3–O6, with an appropriate equivalent combination of education and years of experience, will be considered.

Responsibilities

Partner with segment finance teams to identify reporting challenges, recurring manual work, data needs, and process-improvement opportunities.
Gather, document, and translate customer requirements into practical data, reporting, visualization, and automation solutions.
Troubleshoot data and reporting issues, communicate progress, and coordinate with business and technology partners.
Build knowledge of segment finance processes, including budgeting, forecasting, variance analysis, financial reporting, and management decision support.
Analyze financial and operational data to identify trends, explain variances, improve data quality, and provide actionable insights.
Develop and maintain dashboards, reports, and visualizations for financial decision-making.
Help automate recurring finance activities using approved technologies such as Power BI, Power Query, Excel, SQL, Snowflake, and Python.
Support repeatable data-preparation and validation processes that reduce manual effort and improve reporting accuracy and timeliness.
Test automated processes, data models, reports, and dashboards against customer requirements and reliability expectations.
Create process documentation, data definitions, user instructions, and support materials.
Assist with training, demonstrations, and ongoing support to encourage adoption of new tools and processes.
Monitor solutions, gather customer feedback, and recommend enhancements as business needs change.
Collaborate with finance, data, and technology teams to resolve data issues and follow security, governance, and data-management practices.
Balance customer requests by clarifying priorities, communicating timelines, and escalating risks or resource constraints.
Share reusable processes, reporting techniques, and automation practices with segment finance teams.