The successful candidate will be responsible in specifying, collecting, processing, and presenting information from potentially several disparate data sets. Will generate actionable knowledge from data. Have the analytical and problem-solving skills necessary for quickly developing recommendations based on quantitative and qualitative data from many different types of sources. Have the ability to identify patterns and higher-level information from all the data sources through use of tools and application programming. Understands the general problem space and is confident in explaining the different insights generated from the data. Candidate must be familiar with aircraft systems such as avionics/mechanical equipment as well as other common systems. Must have 2 years with bachelor's degree or must have 0 years with Masters. 6 years of relevant experience may be used as a substitute for education. Ability to extract and manipulate data from databases (e.g., SQL, SQL Server) Ability to use statistical programming languages and tools (e.g., Python, Tableau) Experienced Microsoft Office skills with emphasis in Excel, PowerPoint, and Access. Experience conducting ad hoc research and reporting through data analysis. Must have 5 years with bachelor's degree or must have 3 years with Masters. 10 years of relevant experience may be used as a substitute for education. Applicants must be US citizens and hold a minimum active DoD Top Secret security clearance, in scope within 5 years, and be willing to submit to polygraph. Must have the ability to obtain and maintain Special Access Program (SAP) clearance within a reasonable amount of time as determined by business needs. Ability to extract and manipulate data from databases (e.g., SQL, SQL Server) Ability to use statistical programming languages and tools (e.g., Python, Tableau) Advanced Microsoft Office skills with an emphasis in Excel, PowerPoint, and Access. Experience conducting ad hoc research and reporting through data analysis. Applicants must be willing to work a flexible work schedule that may include extended shifts, holidays, and weekends and support on call status for 24 hours-a-day, 7 days-a-week, 365 days a year. Operational experience is preferred over manufacturing or production, but all candidates will be considered. Understanding of Linear/Logistic Regression, Decision Trees, Random Forest boosting algorithms. Experience with technical writing skills and the ability to communicate complex data in a simple and actionable way. Additional education and/or experience relevant to the aircraft systems, aviation and aerospace Industry required.