Role Summary

Provides statistical modeling, data analysis, estimation procedures, and analytical review for national crime-reporting datasets. Supports data-quality evaluations, special-report analysis, dashboard development, and analysis of data transitions between reporting systems.

Key Duties

• Perform statistical analysis, data modeling, trend detection, and estimation procedures.
• Evaluate the transition from summary-based systems to incident-based systems.
• Review public data releases and recommend improvements to statistical products.
• Analyze the movement of data from source systems into public-access tools.
• Develop dashboards and visualizations using Power BI.
• Support methodologies for estimation when reporting thresholds are not met.
• Analyze RMS-derived data for anomalies, patterns, and system-driven inconsistencies.
• Present data findings to program leadership and stakeholders.

Required Qualifications

• Top Scret
• Bachelor's degree in Statistics, Data Science, Mathematics, or related discipline.
• Strong Power BI skills (data modeling, DAX, visualizations).
• Experience working with structured data, XML, and flat-file formats.

Preferred Qualifications

• Experience with national crime-reporting datasets or criminal-justice statistical programs.
• Familiarity with OMB data-quality guidelines.
• Knowledge of law-enforcement Records Management Systems (RMS).