Partner extensively with Tech Ops, IOC, and Airports to gain a deep understanding of their business processes, identify pain points, and create performance improvement strategies. Drive operational improvement by delivering actionable insights through performance measurement, trend analysis, and data interpretation across critical operational areas. Perform deep-dive analyses on complex datasets related to maintenance assignments, supply chain requests, operations engineering initiatives, airport performance, and ETD postings to uncover root causes, identify improvement opportunities, and influence operational policy and process enhancements. Lead the development and execution of the enterprise-wide analytics roadmap, managing high-visibility projects that span multiple departments and directly contribute to operational excellence. Partner with business stakeholders to define, validate, and operationalize key performance indicators (KPIs) and data sources that support the successful launch and monitoring of new policies, initiatives, and technology products. Design and produce both standardized and custom reports using visualization tools and advanced data storytelling techniques to clearly communicate operational metrics and review solutions from decision support models. Support the development of operational models by creating algorithmic procedures to ensure that the models are in compliance with the rules and objectives.
Work Schedule: 40 hours per week/8 a.m.-5 p.m./M-F.
Job Location: Fort Worth, TX
Education and Experience Requirements
Minimum Requirements: Masters degree in Business Analytics, Operations Research, or related field, plus 1 year of experience as Analyst or any occupation in which the required experience was gained, and demonstrated experience in: SQL; Python; Tableau; R; NoSQL (MongoDB); Data visualizations; Microsoft Office tools including Excel, Word, and Power Point; Advanced quantitative analytical methods; Developing and maintaining data pipelines; Data analysis, data processing, and data migration using Python; Agile project delivery, supporting UAT, deployment; Cross-functional coordination.
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