Senior Analyst CRM Data & Audiences
JetBlue Airways
- Location
- Long Island City, NY, US, 11101
- Work model
- On-Site
- Level
- Senior
- H-1B history
- 11 approvals (FY2023)
Skills
About this role
Position Summary: The Senior Analyst, Customer Relationship Management (CRM) Data and Audiences is responsible for developing and managing advanced segmentation strategies and data models that power personalized marketing offers and lifecycle campaigns. This role plays a central part in enabling JetBlue’s marketing team to better understand, reach, and engage customers using first-party data. The Senior Analyst, CRM Data and Audiences reports into the Manager, CRM Data and Audience strategy and own audience builds, performance measurement logic, and cross-functional data partnerships to support both CRM, promotional marketing and paid media use cases. This ideal candidate is a hands-on, SQL-proficient analyst who thrives at the intersection of marketing and data. They collaborate closely with stakeholder teams across Marketing, Loyalty, Data Science and Revenue Management and can also operate well independently. They are comfortable working in a fast-paced and agile work environment and exhibit the JetBlue values of Safety, Caring, Integrity, Passion and Fun. Essential Responsibilities:
Write and optimize complex SQL queries to build customer segments, behavior-based audiences, and campaign triggers. Develop predictive models (e.g., churn, next purchase, loyalty tier migration) in partnership with Data Science. Build and maintain an audience library and documentation to support CRM, Loyalty, and Paid Media teams. Support data-driven offer design and test-and-learn experimentation, leveraging customer behavior insights to improve relevance and contribute to revenue goals and forecasts Design and test offers across multiple products and customer segments, using behavioral and transactional data to uncover affinity patterns, measure offer stickiness, and identify upsell and cross-sell opportunities that drive revenue and retention Translate marketing goals into data requirements, collaborating closely with campaign managers and cross-functional teams Contribute to the development of personalization strategies using Braze, segmentation tools, and internal targeting infrastructure Partner with Data Engineering, Data Science and Marketing Analytics to validate data pipelines and ensure data accuracy for campaign execution. Lead data QA, audience audits, and lifecycle logic validation across all CRM channel activations. Provide analytical support for performance measurement and offer optimization. Create and manage lookalike and suppression audiences for performance marketing efficiency. Support cross-channel customer journey mapping by aligning audience definitions with behavioral milestones and lifecycle stages. Mentor analysts and marketers across different teams on audience best practices, segmentation logic, documentation standards, and QA protocols. Stay current with trends in CRM personalization, AI-powered segmentation, and customer data infrastructure. Evaluate and test new tools and modeling approaches to improve audience precision and scalability. Other duties as assigned.
Minimum Experience and Qualifications
Bachelor’s degree in Marketing, Data Science, Statistics, or a related field; OR demonstrated capability to perform job responsibilities with a High School Diploma/GED and at least four (4) years of previous relevant work experience Three (3) years of experience in CRM analytics, lifecycle marketing, or audience strategy Advanced SQL proficiency and experience working with large datasets Strong understanding of first-party data ecosystems, audience strategy, and targeting Hands-on experience with platforms such as Braze, Dynamic Yield, Live Ramp and other marketing tools that rely on audience segmentation Strong cross-functional communication skills and the ability to translate business needs into technical outputs Familiarity with machine learning or predictive modeling a plus Experience in travel, e-commerce, loyalty,