Data Analyst IV

Role Overview

• Lead advanced data analytics, statistical modeling, and predictive analysis initiatives to support readiness based sparing models to support decision-making and strategic planning.
• Partner with senior stakeholders to define analytical objectives, shape problem statements, and translate business challenges into actionable, data-driven strategies.
• Enforce, maintain and contribute process improvements to documented enterprise data definitions, business rules, governance frameworks, and data quality standards.
• Provide technical leadership and mentorship to junior analysts, supporting skill development and analytical best practices.
• Serve as a trusted advisor and subject matter expert on data analytics methodologies, tools, and advanced analytical techniques.
• 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.
• Identify, define, and lead continuous improvement initiatives for analytics processes, data workflows, and system performance.
• 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.

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.
• 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