Data Analyst, Commercial Insights & Crewmember Tech

JetBlue; New York (NY); Hybrid; USD 68,000 - 112,000; Full time

Job summary

JetBlue is seeking an early-career Data Analyst for Crewmember Technology to transform diverse data into actionable insights. You will build dashboards and analytical models to measure product adoption, operational performance, and ROI, collaborating with Product Managers, Data Engineers, and stakeholders across the business.

You will document analytical assets, define KPIs, and support decision-making with rigorous analysis while contributing to data governance and reporting improvements.

Qualifications

• Bachelor’s degree or equivalent with strong quantitative background.
• 2+ years analytical experience and proficiency in SQL.
• Ability to translate data into clear business insights for non-technical audiences.
• Experience documenting datasets, dashboards, and analytical methodologies.

Responsibilities

• Analyze commercial, operational, financial, customer, and crewmember data to identify trends and insights.
• Develop SQL queries to extract, transform, and analyze data from enterprise platforms.
• Design and maintain dashboards, reports, and visualizations communicating KPIs.
• Perform ROI analyses and measure business value of technology initiatives.
• Collaborate with Product Managers, Owners, and stakeholders to define success metrics.

Skills

Analytical thinking

Communication

Data storytelling

Fast learner

Education

Bachelor’s degree in CS/IS/Data Analytics or related field

4+ years of related work experience with HS Diploma

Tools

SQL

Tableau/Power BI

Job description

JetBlue is seeking an early-career Data Analyst for Crewmember Technology to transform diverse data into actionable insights. You will build dashboards and analytical models to measure product adoption, operational performance, and ROI, collaborating with Product Managers, Data Engineers, and stakeholders across the business.

You will document analytical assets, define KPIs, and support decision-making with rigorous analysis while contributing to data governance and reporting improvements.