DEIA Workforce Data Scientist with Security Clearance
3 weeks ago
• Developing reports and presentations and delivering reports and presentations to a variety of audiences, to include senior leaders. • Utilize and develop queries and reports using appropriate data science and business intelligence tools (SQL, Tableau, Microsoft Office)
• Partner with ODE's government staff to provide all diversity-related workforce analytics for the agency and to oversight (e.g., ODNI, EEOC, OPM). • Identify, collect, and analyze data; then report on findings with respect to triggers and barriers to equal employment opportunities and an inclusive workplace, the current and historical status of workforce metrics, and employee sentiment (e.g., awareness of and satisfaction with agency programs and policies).
• Display analytic results in text and visually using appropriate data science, business intelligence, and visualization tools, such as Tableau and communicate results to audiences at all levels of the agency.
• Write and maintain supporting documentation, Standard Operating Procedures (SOPs), and guidelines for data cleaning and process documentation.
• Support annual, quarterly, and ad hoc internal and external reporting requirements by preparing and delivering briefings and reports as needed for both technical and non-technical audiences. Requirements
• Possess a Bachelors Degree or higher in Operations Research, Mathematics, Statistics, Data Science, Computer Science, or a similar field with quantitative workforce analytics experience.
• 11+ years of experience, with two to three years working with appropriate data science, business intelligence, and visualization tools predominantly Tableau but could also include SQL or Microsoft Office.
• Experience and demonstrated ability to extract and synthesize complex information to prepare briefings, staff material, read-aheads, presentations, and other material as required with attention to detail.
• Demonstrated excellent written and oral communication skills.
• Experience conducting qualitative and quantitative data analysis using descriptive (e.g., means, percentages) • Experience utilizing both human capital data (e.g., promotion, attrition rates, internal churn) • U.S. Citizenship
• Active TS/SCI Clearance
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