Lead Data Analyst responsible for leading complex data analytics and statistical modeling efforts to develop readiness based spares to drive strategic and operational decision-making across the organization.
Requirements
- Bachelor’s or Master’s degree in Engineering, Computer Science, Data Analytics, or a related technical field.
- Minimum of 10+ years of experience in systems engineering, logistics analysis, or modeling and simulation
- Advanced experience in data engineering practices and readiness modeling methodologies within the DoD or equivalent complex enterprise environment.
- Expert in the application of reliability, maintainability, and availability (RMA) principles and lifecycle sustainment analysis.
- Lead multidisciplinary teams and coordinating across multiple stakeholders to deliver integrated technical solutions.
- Expert with Opus Suite (OPUS10, SIMLOX, CONNECT) or equivalent readiness-based sparing platforms.
- Strong communication, leadership, and analytical problem-solving skills.
Benefits
- Paid Time Off
- Paid Company Holidays
- Medical, Dental & Vision Insurance
- Optional HSA and FSA
- Base and Voluntary Life Insurance
- Short Term & Long-Term Disability Insurance
- 401k Matching
- Employee Assistance Program
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