Senior Analyst CRM Data & Audiences

JetBlue Airways Corporation•New York, NY

10d•$88,000 - $132,000•Onsite

About The Position

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 owns 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.

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
Strong interpersonal skills, amicable and professional demeanor
Effective written, verbal and presentation skills
Available for occasional overnight travel (10%)
Able to work flexible hours and be available for an emergency response on short notice
Must pass a pre-employment drug test
Must be legally eligible to work in the country in which the position is located
Authorization to work in the US is required. This position is not eligible for visa sponsorship

Nice To Haves

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

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.