Program Data Analyst

 Requirements:

• 2-5 years of experience in data warehousing tools, including Microsoft Power BI.
• Can design complex models in Power BI by establishing advanced relationships, hierarchies, and using advanced calculations
• Understands the use of Power Query in Power BI.
• Advanced use of Microsoft Excel, including VLOOKUP, PivotTables, Macros & VBA.

Responsiblties:

• Identify, analyze, and interpret trends or patterns in complex data sets and apply advanced analytic and statistical techniques to derive insights.
• Intermediate expertise in working with large data sets and applying statistical, quantitative, and diagnostic techniques to derive insights and communicate technical concepts to non-technical audiences.
• Strong qualitative skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Provide support for the design, development, and implementation of outreach for the compliance process and technical support teams in the field.
• Provide support and participate in outreach for the compliance process, including facilitating communications and trainings with system users.
• Provide analytic capability to track compliance reporting results and determine compliance gaps across Federal facilities.
• Provide performance –based metrics development guidance to Federal agency and department partners.
• Coordinate and provide support for Compliance Subcommittee and working group meetings resulting action items.
• Establish and maintain effective working relationships with internal and external personnel.
• Keep informed of the mission, organizational structure, key personnel, current activities, status of current projects, and any issues affecting the organization.
• Perform other work-related duties as assigned. The omission of the specific duties does not preclude the supervisor or client from assigning duties that are logically related to the position.

Key Skills:

• Data Visualization.
• Data Cleaning.
• Python.
• SQL and NoSQL.
• Machine Learning.
• Linear Algebra and Calculus.

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