Mine, process, and summarize data; Manage the quality assurance of data scraping, query databases for stakeholder requests, and triage data issues for timely resolutions; Analyze large datasets, draw valid inferences and prepare insights in narrative or visual forms, including dashboards; Set up and maintain data processes and new analytics capabilities; Produce and track key performance indicators; Ability to formulate functional and technical requirements from business problems; Program management of key tasks and resources to achieve cost and schedule. Performs activities involving the producibility and quality of the product, and the processes that directly pertain, encompassing primarily one or more of the following engineering disciplines: failure analysis, industrial, manufacturing, manufacturing equipment, process, product, quality assurance, reliability, supplier quality, Lean Six Sigma, test, and tool.