Jobs · Engineering

Manager, Global Trade Data & Automation (Remote)

Pratt & Whitney · Tallahassee, FL · 3 wk ago
RemoteRemoteEngineeringFull-time

About the role

At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world’s most complex problems. With three market‑leading businesses, world‑class operations and investments in research and development, RTX offers capabilities and opportunity no one else can. Pratt & Whitney is a world leader in the design, manufacture and service of aircraft engines and auxiliary power systems and has been revolutionizing modern flight for over 100 years. This remote position for a Manager, Global Trade (GT) Data & Automation will work collaboratively with the Program Management Office (PMO), Global Trade Program Support (GTPS), Audit, Investigations & Disclosure, and Central Technology Management (CTM) teams to develop dashboards, websites, and support data analysis, health monitoring, and other key data management tasks, reporting to the GT Program Management Office.

Responsibilities

  • Develop dashboards, websites, and support data analysis, health monitoring, and other key data management tasks (working with PMO, GTPS, Audit, Investigations & Disclosure, CTM).
  • Report to the GT Program Management Office (PMO).
  • Build and maintain dashboards, reporting tools, and SharePoint environments to track KPIs and business performance.
  • Collaborate closely with the GT Program Management, Investigations & Disclosures and Audits and Corrective Actions teams to identify data needs and deliver actionable insights.
  • Collect, clean, and validate large datasets from multiple sources to ensure accuracy and consistency.
  • Analyze data using statistical and mathematical methods to identify trends, patterns, and insights.
  • Conduct deep-dive analyses to uncover trends, anomalies, and opportunities for improvement.

Qualifications

Bachelor’s degree in Data Science, Engineering, Computer Science, Statistics, or a related field and 8+ years of experience in data science, data engineering, or analytics, with proficiency

Similar jobs