Supply Chain Analyst F

Credence is a privately held technology firm that provides mission‑critical solutions to defense and health organizations. Through partnership and trust we increase mission success for war‑fighters and secure our nation. We are recognized as a top place to work and have been on the Inc. 5000 Fastest Growing Private Companies list for the last 12 years. Credence supports the F‑35 Joint Program Office (JPO) at Wright Patterson Air Force Base, OH, by providing a Supply Chain Analyst to manage aircraft supply chain operations.

• Provide oversight and reporting of aircraft supply chain effectiveness
• Support development of the strategy for supply chain requirements, oversee quality deficiency reporting and provide metrics and performance reporting
• Utilize metrics and analysis from logistics performance data to recommend initial supply levels and adjust them as necessary for all retail locations
• Monitor and track locations for different levels of consumption/use‑based phase of flight operations for adjustments in base spares packages to ensure the parts that are needed are the parts that are available
• Track Service and partner unique plus ups to ensure stock levels are not adjusted to the point of encroaching on peculiar, funded requirements for retail supply levels
• Oversee and enforce business rules decided by the Enterprise to ensure assets are issued to using units/services/partners responsibly and transparently
• Shape item management strategies and procedures within supply chain support functions
• Develop, maintain, and utilize the algorithms and analytical methodologies for the supply chain management function
• Utilize inputs from across the enterprise to evolve current tools and incorporate them into weapon system and commodity demand/consumption data
• Safeguard metrics standards responsibly evolve to drive supply chain performance and behavior by holding PSPs accountable for the performance listed in their respective contracts
• Prepare reports and findings to support the adjudication of PSP or vendor performance data
• Support business management functions in order to determine the build, type and configuration of DSP/ASP kits needed for unit deployments
• Analyze requirements passed by deploying units to ensure the appropriate mix and configuration of parts are included based on the configurations of aircraft deploying
• Monitor the progress of PSPs to configure and deliver the DSP/ASP kit
• Determine any shortages within the DSP/ASP to ensure PSPs backfill the kits with the needed items of supply
• Query and extract data from systems including Air Force Portal, AFTOC, Item Manager, D035A, Master Item Identification Database, D043, DoD E‑mall, Defense Repair Information Logistics System, DRILS, Global Combat Support Systems, Federal Logistics Information System, Joint Deficiency Reporting System, Logistics Installations and Mission Support Enterprises View, REMIS, SMART, Weapon System Management Information System‑Readiness Assessment Module and other DoD/Service/CPP systems
• Provide knowledge of statistical data analysis, modeling, simulation, optimization, and analytical capability to support the Government in developing and implementing performance‑management measures and metrics
• Conduct maintenance of existing performance measures and metrics and develop new metrics and targets to measure performance across all business areas
• Routinely review and analyze existing business rules to ensure relevancy to the desired performance end state
• Develop metrics, including data sources, frequency of data pulls, formats, documentation of calculations, and analysis of metric data
• Use recognized statistical techniques and tools for lagging indicator analysis (statistical process control, trending, cyclical and erratic pattern identification, root‑cause analysis such as Five Whys, FMEA, Pareto analysis, fault‑tree analysis, Ishikawa diagrams)
• Use recognized statistical techniques and tools for leading indicator analysis for time series (basic moving average, exponential smoothing, regression analysis, Box‑Jenkins)
• Apply forecasting techniques and tools to identify confidence levels and margins of error, sensitivity analyses,…