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The City of Norfolk is seeking a part-time Data Officer for the Norfolk Commonwealth's Attorney's Office. You will coordinate data collection, secure transfers, and liaise with the Harvard Access 2 Justice Lab to support confidentiality-compliant research activities.
Responsibilities include gathering case-file information, managing data transmission, drafting confidentiality agreements, and tracking project milestones while supporting data analysis and triage scoring tool development.
Norfolk, Virginia is America's most authentic and urban waterfront city. Home to the world's largest naval station and the business, arts, and cultural center of Coastal Virginia, Norfolk has been rated a top place to live, work, play, and raise a family by numerous publications. Working for the City of Norfolk is an opportunity to make a real difference in the lives of others. With our commitment to competitive pay and a strong retirement package, you can do good for your community and do well for yourself. Join a caring workplace that proudly celebrates uniqueness, authenticity, and a shared commitment to improving the lives of our residents.
The Norfolk Commonwealth’s Attorney (CWA) office is partnering with the Harvard Access 2 Justice Lab to conduct a randomized control trial field evaluation and research project. The CWA is seeking to hire a part-time data officer to serve as a critical liaison between The CWA’s Office and the Harvard Access 2 Justice Lab, coordinating all data-related responsibilities. The Data Officer will facilitate communication, data collection, and secure data transfer, ensuring compliance with confidentiality protocols and supporting the development and validation of triage scoring tools.
Departmental Hiring Salary: $22.00 per hour
This position works at the will of the Commonwealth's Attorney
Work requires broad knowledge in a general professional or technical field. Knowledge is normally acquired through four years of college resulting in a Bachelor's degree or equivalent.
One (1) year of full-time equivalent experience performing professional-level data analysis or related analytical work. Experience should include data manipulation, analysis, visualization, and use of analytical or business intelligence tools.
Monday - Friday 9:00 AM - 5:00 PM