• 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.