This is an entry level analyst position operating under the direction of the Supervisor onsite. Apply knowledge of computer system principles, automated data processing functions, and metadata structures to develop solutions to user requirements. Analyze user requests and translate them into data field normalization and Bates numbering specifications. Load documents and data into litigation support software repositories. Troubleshoot data loading problems and handle exception documents. Decompress and extract documents from compound files. Convert native files into endorsed TIFF images using government approved tools. Follow data loading standards and workflow documentation. Export data and load overlay data into litigation support repositories and check for consistency. Must be able to ensure the accuracy of data loading, manipulation, and conversion by performing and documenting quality and accuracy checks. Communicate with client and other CACI groups on-site on a daily basis to inform, discuss and offer solutions regarding problematic productions.
At least four years of professional experience with two years of progressively more responsible experience on major litigation support projects, including proven capabilities and communication skills to successfully interact with clients and attorneys.
Demonstrated ability to oversee and coordinate numerous complex and time-critical litigation support activities simultaneously. Requires in-depth knowledge of litigation support, excellent writing skills and excellent oral communication skills.
Requires hands-on familiarity with the Government's office and network environment, including but not limited to, data processing environments, including office automation networks, PC-based databases and other applications, and internet and server-based databases and other applications, such as Recommind, Concordance, Relativity, LAW PreDiscovery, iConect etc. Perl / VB Scripting experience or some programming background is a preferred.
Hands on experience working with SQL / Queries preferred.
Experience working with regular expressions and data manipulation is preferred.
Should be familiar with the Government's office and network environment.