Collaborate with engineers, logisticians and product managers to understand requirements, gather supporting information specifications and develop readiness based sparing model.
Contribute technical expertise in data needed and structure to develop and model the simulation to identify the most effective option on the readiness cost curve.
Participate in planning sessions to acquire detailed information develop data pipeline architecture that align with project requirements.
Extract supporting data from identified tools, review available supportability reports and engineering details to assess quality of data prior to developing a readiness at cost model.
Document data gathering processes, pipeline configurations, and data flows to ensure consistency and future support.
Ensure accuracy and completeness of all documentation.
Foster effective collaboration with cross-functional teams to achieve project objectives.
Communicate complex technical information clearly and effectively.
Utilize identified software and follow business rules and processes.
Identify areas to improve efficiency and accuracy and integrate those into modeling best practices

Bachelor’s or Master’s degree in Engineering, Computer Science, Data Analytics, or a related technical field
Minimum of 2 years of experience in systems engineering, logistics analysis, or modeling and simulation
Demonstrated expertise in data engineering practices and readiness modeling methodologies within the DoD or equivalent complex enterprise environment
Proficient in the application of reliability, maintainability, and availability (RMA) principles and lifecycle sustainment analysis
Experience working with multidisciplinary teams and coordinating across multiple stakeholders to deliver integrated technical solutions

Data Analyst II

Key skills