PGH Engineer III

Description

Applies various engineering concepts, practices and procedures to analyze operational data/methods, identify performance improvement opportunities and/or implement technology systems that meet business objectives. Provides analysis, reporting tools, and engineering support for FedEx field operations to effectively control and/or justify operational costs. Recommends and supports management on development of more effective metrics and tools. Analyzes performance data within engineering. Analyzes and documents existing processes. Identifies opportunities for improvement and recommends solutions to management. Researches and analyzes technical or engineering related information independently. Presents improvement recommendations to management. Prepares accurate expenditure proposals and/or cost justification analysis independently. Monitors expenditures to ensure spending is applied and within budget guidelines. Formulates and presents document research, progress and results to team members, internal customers and senior management. Applies project management fundamentals and concepts. Creates and publishes progress reports, meeting minutes, field communication memos and presentations for management review. Participates in Control Self-Monitoring (CSM) and/or Business Control Self-Assessment (BCSA) process within area of responsibility. Mentors and develops critical skill sets in lower-level engineers. Perform other duties as assigned. 

Requirements

Bachelor’s degree in Engineering, Industrial Engineering, Logistics or related technical or quantitative degree (e.g. mathematics) or related field of study plus 4 years of experience in the job offered or 4 years of experience required in technical areas of programming languages (e.g. Python, SQL), statistical software (e.g. SAS), data visualization software (e.g. Microsoft Power BI, TIBCO Spotfire) and data analytics. The employer will alternatively accept a Master’s degree in Engineering, Industrial Engineering, Logistics or related technical or quantitative degree (e.g. mathematics) or related field of study plus 2 years of experience in the job offered or 2 years of experience required in technical areas of programming languages (e.g. Python, SQL), statistical software (e.g. SAS), data visualization software (e.g. Microsoft Power BI, TIBCO Spotfire) and data analytics. The position requires experience with: Software skills, including use of Microsoft Office software and web-based applications; Performance data analytics; consolidation of Engineering information for management; statistical and financial analysis; project management fundamentals; controlled self-monitoring; supply chain/transportation operations; data mining and data visualization; verbal and written communication skills necessary to communicate with all levels of management; presentation skills necessary to facilitate training and/or deliver informational sessions to groups and/or individuals; time management and organizational skills necessary to manage multiple projects, appropriately prioritize workload, plan for resources to meet deadlines and goals, and respond to day-to-day functional needs; ability to anticipate and identify problems and use sound judgment and fact-based analysis to develop effective and efficient solutions; ability to mentor, coach and act as a knowledge resource to other employees; working knowledge of statistical programming language (e.g. SAS); knowledge of project management concepts and project lifecycle; SAS (Statistical Analysis System); SQL (Structured Query Language); Azure Databricks; Microsoft Power BI; Python; and TIBCO Spotfire. Position can telecommute from home from any location in the U.S.