Marathon TS ยท 17 hours ago
Technical Project Manager
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Responsibilities
Responsible for overseeing the creation of data driven products, services, and managing client relationships.
Research, compile & analyze data related to IT capital planning, IT portfolio investments, & adherence to Federal IT regulations.
Leverage skills in both R Programming Language & MS SQL for statistical analysis & reporting data requests.
Design reporting processes, systems, & procedures.
Analyze work flow & create work simplification & measurement studies.
Coordinate with customer, leadership, & technical teams to modify existing reports & develop new reporting products.
Communicate data results verbally & through analytics visualizations.
Coordinate with stakeholders & team members to provide enhancements to current report, analysis, & dashboard formats or to develop new reporting products.
Qualification
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Required
Must be able to Obtain & Maintain a Secret Clearance; U.S. Citizenship is required.
Possess a Bachelor's Degree in Data Management, Information Systems, Computer Science or a similar field. Demonstrated years of experience, may be considered in lieu of your degree.
Minimum seven years of direct experience.
Possess a familiarity in data analysis, understanding the limitations of data, & experience with understanding data structures.
Expert-level proficiency with Excel/data modeling in spreadsheet fashion
A mind for data analytics
Possess a working knowledge of MS SQL to pull & restructure data in R.
Possess experience communicating data results verbally & experience developing dashboards, analytics visualizations, & reports.
Utilize your excellent time management skills & possess the ability to meet deadlines.
Proficient with Microsoft Office tools such as Word, Excel, PowerPoint, Visio, etc.
Preferred
Seven or more years demonstrated experience with data analytics using R & SQL.
Capital Planning & Investment Control (CPIC) and/or Project Management experience
Experience writing business requirements documents & mapping business processes.
Experience developing IT-specific data analysis.