• Collect, integrate, clean, validate, and analyze workforce and training data from multiple sources. • Design and implement statistical models and predictive algorithms to support workforce planning, forecasting, and program evaluation. • Develop and maintain dashboards, reports, and data visualizations that communicate actionable insights to leadership and stakeholders. • Conduct ad hoc analyses to address emerging workforce and training requirements and produce rapid-turn analytical products. • Advise on data governance, privacy requirements, ethical data use, and documentation standards. • Collaborate with staff and stakeholders to define analytic requirements, measures of effectiveness, and reporting cadence. • Deliverables (As Requested): Cleaned datasets, data dictionaries, and repeatable analytic workflows. Workforce/training metrics and performance measures (definitions and calculation logic). Predictive models/forecasts and concise model documentation (assumptions, validation, limitations). Dashboards and recurring reports for leadership and program stakeholders. Ad hoc analytic briefs, slides, and decision-support memos. Recommendations for data governance and privacy/ethical data practices.