Aviation Ops Strategy & Analytics Lead

JetBlue

New York (NY)

On-site

USD 66,000 - 103,000

Full time

14 days+

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Job summary

JetBlue is seeking a Senior Analyst for the Operations Strategy & Data Analysis team in New York. You will translate data into actionable insights to improve performance, reliability, and efficiency across the network.

You will design and own analytical tools for root-cause investigations and predictive insights, collaborating with stakeholders across Technical Operations and other departments. The role requires strong quantitative skills, experience with SQL and programming languages (Python or

Qualifications

  • Bachelor’s degree or equivalent with 4+ years in analytics
  • 3+ years of analytical experience reconciling and analyzing data
  • Proficiency in SQL and at least one programming language (Python or R)
  • Experience with data visualization tools (Tableau, Spotfire, PowerBI)
  • Advanced Excel and PowerPoint skills
  • Strong communication and stakeholder management abilities

Responsibilities

  • Analyze JetBlue operational performance and identify constraints to improve reliability
  • Perform deep dives into technical data from Maintenance and Engineering systems
  • Create automated reports and dashboards with operational data
  • Develop and own analytical tools and models for predictive insights
  • Collaborate with cross-functional teams and present findings to leadership

Skills

SQL
Python
R
Data analysis

Education

Bachelor’s degree in aviation, mathematics, operations research, quantitative analysis, computer science, or related field

Tools

Tableau
Spotfire
PowerBI

Job description

JetBlue is seeking a Senior Analyst for the Operations Strategy & Data Analysis team in New York. You will translate data into actionable insights to improve performance, reliability, and efficiency across the network.

You will design and own analytical tools for root-cause investigations and predictive insights, collaborating with stakeholders across Technical Operations and other departments. The role requires strong quantitative skills, experience with SQL and programming languages (Python or

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