This is an exciting time to join Fairfax County Government as we shape racial and social equity policies in the county through the One Fairfax Policy. Using this framework, we intentionally consider equity when making policies or delivering programs and services. To learn more, we highly encourage you to watch the Becoming One Fairfax—An Introduction to Key Concepts video by clicking here and visit the One Fairfax webpage here. Plus, check out the Top 5 Reasons to Work with the Fairfax County Domestic and Sexual Violence Services Division | Family Services.
ABOUT THIS POSITION
Under general supervision of the Operations Manager, serves as the Statistical and Data Specialist for the Domestic and Sexual Violence Services Division (DSVS), providing statistical analysis and business intelligence support to DSVS programs, grants, and operations. Serves as a subject matter expert in clearly and accessibly communicating data to diverse audiences, data cleansing, statistics, Power BI dashboard development, data queries, and mathematical formulas used to evaluate program performance, operational efficiency, and community impact in support of the DSVS mission.
The ideal candidate must be able to effectively translate complex data findings into accessible, compelling data insights tailored to audiences of varying technical ability, enabling stakeholders to understand key trends and make informed, data-driven decisions. They will cleanse data and develop Power BI dashboards, automated reports, and visualizations that convert complex DSVS program and grant data into clear, actionable insights for leadership, program staff, grant owners, and strategic planning. They will also provide analytical and technical support for DSVS grant and funder requirements including metric development, outcome tracking, data validation, and reporting to ensure accuracy, compliance, and the effective use of data to demonstrate program impact and strengthen evidence-based service delivery.
This role supports DSVS data cleansing, preparation, statistical analysis and m