Tasks:
- * Analyze chronic absenteeism and special education identification trends
- * Analyze districtwide data for equity tracking and student outcomes
- * Design predictive models and machine learning algorithms
- * Develop simulations and executive decision-support tools
- * Ensure compliance with data governance policies
- * Forecast enrollment, budgeting, staffing, and resource needs
- * Integrate data from student information systems, ERP, and external sources
- * Maintain reproducible research workflows
- * Mentor analysts and promote data fluency
- * Partner with academic, operations, and finance teams
- * Present findings through data visualizations and narratives
- * Validate and maintain model-ready datasets
Perks/Benefits:
Skills/Tech stack required:
[Classification] [Clustering] [Data Governance] [Data integration] [Data Storytelling] [Data Systems] [Data Visualization] [Education Data] [Education Data Systems] [ERP systems] [Forecasting] [Information Systems] [Learning management] [Learning management systems] [Machine Learning] [Management systems] [Microsoft Fabric] [Power BI] [Predictive Modeling] [Python] [R] [Regression] [Reproducible Research] [Series analysis] [Simulation Modeling] [Special Education] [Special education data] [SQL] [Statistical Analysis] [Student Information Systems] [Time Series] [Time Series Analysis]
Educational requirements:
[Bachelor's Degree] [Master's Degree]
Role(s):
[Applied Analytics Researcher] [Data Scientist] [Researcher] [Scientist] [Senior Data Scientist]