$114,000 – $170,000
Listed on JetBlue’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This role owns the data infrastructure and analytics products that power workforce decision-making across JetBlue's People function, combining data engineering with stakeholder-facing insights and reporting. It suits someone with deep technical skills in R, SQL, and data visualization who also enjoys translating complex analyses into clear stories for non-technical leaders.
Our summary, not JetBlue’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- Bachelor's degree in I/O Psychology, Human Resources, Data Science, Statistics, Business Analytics, Information Systems, Computer Science, or related field
- 5+ years in people analytics, workforce analytics, data analytics, business intelligence, or related field
- Advanced R experience for data cleaning, analysis, reporting, and automation
- GitHub or version control experience
- Snowflake, SQL, or similar database experience
- Dashboard, report, or data visualization experience with Tableau, R Markdown, flexdashboard, or similar
- Demonstrated ability to clean, validate, and communicate insights from complex data
- Strong written and verbal communication skills
- Ability to manage multiple recurring deliverables and ad hoc requests
- Cross-functional collaboration across People, Compensation, IT, and business leadership
- Proficiency in Microsoft Office, especially Excel and PowerPoint
- Occasional overnight travel (10%)
- Pass pre-employment drug test
- Legal eligibility to work in the country of position location
- Authorization to work in the US; not eligible for visa sponsorship
Nice to have
- Master's or Ph.D. in I/O Psychology, Human Resources, Data Science, Statistics, Business Analytics, Information Systems, Computer Science, or related field
- 7+ years in people analytics, workforce analytics, data analytics, business intelligence, or related field
- Expert-level R for reproducible analytics and automated reporting
- Advanced SQL and experience designing data models for analytics
- R Markdown, Quarto, flexdashboard, or Shiny experience
- HRIS, applicant tracking, learning management, survey, or compensation systems experience
- Experience partnering with IT or data governance teams
- People analytics, employee listening, selection and assessment, attrition research, or organizational design experience
- Strong consulting skills for clarifying stakeholder needs and guiding decision-making