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.

Requirements

• 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, or other subscription-based industries is preferred.
• Strong team player with the ability to take initiative and work well independently
• High attention to detail with the ability to think critically

Preferred

• Five (5) years of experience in CRM analytics, lifecycle marketing, or audience strategy
• Strong knowledge and hands-on experience working with customer data platforms (CDPs)
• Familiarity with data science tools or languages (e.g., Python, R) used for predictive modeling or marketing experiments
• Exposure to AI/ML use cases in marketing, such as audience scoring, offer generation, or dynamic segmentation
• Understanding of media audience sharing workflows (e.g., Braze → Meta/Google) to support paid media efficiency
• Prior experience building or optimizing audience strategies in Braze or similar cross-channel campaign platforms.
• Hands-on familiarity with Databricks, including querying and working with structured data for marketing use cases
• Strong understanding of data privacy and consent frameworks (e.g., GDPR, CCPA) related to audience usage and targeting

Benefits

• Healthcare benefits
• 401(k) plan and company match
• Crewmember stock purchase plan
• Short-term and long-term disability coverage
• Basic life insurance
• Free space available travel on JetBlue
• and more