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Systems and Data Analyst - Remote

Posted 7 days ago
Data Analysis
Full Time
USA
$138,550.00 - $187,450.00/year

Overview

The Systems and Data Analyst at Jeppesen Sanderson Inc will work remotely, focusing on supporting the Boeing Global Services business organization and collaborating with various product and support teams.

In Short

  • Full-time remote position.
  • Develop AI-driven solutions for technical support.
  • Collaborate with support teams to enhance efficiency.
  • Design and optimize machine learning models.
  • Analyze support data for trends and improvements.
  • Create documentation for AI models and processes.
  • Integrate AI solutions into existing systems.
  • Manage metrics and reports for support KPIs.
  • Subject matter expert on advanced flight planning.
  • Contribute to the support strategy and knowledge management.

Requirements

  • 2+ years in a support organization.
  • 3+ years in Advanced Flight Planning.
  • 1+ year experience with AI or automation.
  • 5+ years in a support organization preferred.
  • 5+ years in Advanced Flight Planning preferred.
  • 3+ years working with AI or automation preferred.
  • Project Management skills.
  • Knowledge of Azure/AWS Cloud is a plus.
  • Familiarity with Jeppesen products is a plus.

Benefits

  • Competitive base pay and variable compensation.
  • Health insurance and flexible spending accounts.
  • Retirement savings plans.
  • Life and disability insurance programs.
  • Paid and unpaid time away from work.

J.S

Jeppesen Sanderson

Jeppesen Systems AB, a Boeing Company, has been a leader in aviation for over 80 years, providing pilots and passengers with the tools they need to navigate safely and efficiently. As the world's foremost provider of aeronautical data and operational support, Jeppesen combines a rich legacy of innovation with cutting-edge solutions for navigation and optimization. The company is dedicated to delivering exceptional services to airline customers, focusing on strategic partnerships and professional services to drive business growth and enhance operational efficiency.

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