Strategic Data Analyst – Air Network Planning & Optimization

FedEx

Singapore

On-site

SGD 120,000 - 180,000

Full time

18 hours ago
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Job summary

FedEx is seeking a Lead Data Analyst II for Air Network Planning & Scheduling in APAC. You will drive analytics, automation, and optimization across air network design and partner planning, collaborating with tech teams to scale successful experiments globally. Strong domain knowledge in aviation and practical problem solving are essential.

You will lead cross‑functional initiatives, build scalable tools, and translate data insights into actionable planning improvements for a complex network.

Qualifications

  • Bachelor’s degree in Engineering, Data Science, Operations Research, Aviation, or related field, or equivalent experience.
  • Significant experience in data analysis, analytics engineering, or operational analytics roles.
  • Experience in airline scheduling, air network planning, or aviation/logistics operations.
  • Demonstrated experience building automation tools, analytical models, or internal products (e.g., scripting, dashboards, optimization tools).
  • Strong problem‑solving skills with the ability to work across both technical and operational domains.

Responsibilities

  • Lead high-impact, cross-functional projects spanning air network scheduling, airline partner planning, and operational performance.
  • Act as a strategic advisor to planning leadership, identifying opportunities for innovation, efficiency gains, and capability enhancement.
  • Drive end-to-end project execution from concept through deployment and adoption.
  • Develop and implement optimization models and analytical frameworks to improve network design, scheduling efficiency, and partner performance.
  • Apply data-driven approaches to solve complex planning problems, including routing, capacity allocation, and operational trade-offs.
  • Translate analytical outputs into actionable insights for planning teams and leadership.
  • Design, build, and maintain automation tools, scripts, and lightweight products to streamline planning workflows and reduce manual effort.
  • Develop scalable solutions that integrate with existing scheduling and planning systems.
  • Continuously identify opportunities to eliminate inefficiencies through automation and process redesign.
  • Work closely with scheduling engineers, network planning engineers, operations teams, and partner management to embed solutions into daily workflows.
  • Adapt tools and approaches to suit a wide range of users, from highly technical to operational planners.
  • Provide hands‑on support to ensure successful implementation and adoption of new tools and processes.
  • Lead experimental initiatives focused on advanced automation, optimization techniques, and emerging technologies.
  • Pilot new approaches, evaluate outcomes, and scale successful solutions across the organization.
  • Stay current with industry trends and best practices in airline planning, logistics optimization, and data analytics.
  • Establish best practices for data usage, model development, and automation within the planning team.
  • Ensure solutions are robust, maintainable, and aligned with operational realities.
  • Document tools, methodologies, and processes to support long‑term sustainability.

Skills

Air network planning
Advanced analytics
Automation
Cross-functional leadership
Problem solving

Education

Bachelor’s degree in Engineering, Data Science, Operations Research, Aviation, or related field

Tools

Scripting
Dashboards
Optimization tools

Job description

FedEx is seeking a Lead Data Analyst II for Air Network Planning & Scheduling in APAC. You will drive analytics, automation, and optimization across air network design and partner planning, collaborating with tech teams to scale successful experiments globally. Strong domain knowledge in aviation and practical problem solving are essential.

You will lead cross‑functional initiatives, build scalable tools, and translate data insights into actionable planning improvements for a complex network.

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