Quantitative Analyst
3 weeks ago
- Advanced Data Analytics:
- Develop and implement advanced data analytics tasks such as simulation, optimization, AI, ML, statistical analysis, regression, data science, decision analysis, performance metric development, risk assessment, scheduling, process improvement, and automation.
- Utilize Data Fabric platforms (Envision, VAULT, Advana, Blade, UDL, etc.) and leverage data science techniques using COTs simulation software, SAS, Tableau, Microsoft Power Platform, open-source coding (Python, R, etc.), existing tools developed with Visual Basic, and other available software.
- Data Management:
- Obtain necessary data from public domains if not provided by the government and manage government-furnished data, reports, and database access.
- Enhance automation, error detection, reduction, data storage, access techniques, and data visualization for reporting.
- Performance Metric Development:
- Support current metrics using existing automated processes for collecting, compiling, analyzing, distributing, and reporting data.
- Create additional metrics and tools to support leadership requirements.
- Base Resiliency Analysis:
- Implement discrete-event simulation using existing models or COTs software to model base processes such as runway repair.
- Identify scenarios and metrics to be simulated and analyzed, integrating simulation models with government-owned models to determine airbase capabilities over time.
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