Partner with senior marketing analysts, engineering, and strategy teams to define, validate, and enable customer-level behavioral signals and attributes across our CDP.
Support lifecycle marketing initiatives by providing behavioral insights for targeting, segmentation, and personalization.
Act as SME on customer activity data, connecting disparate data sets to answer questions on ecommerce customer behavior across the enterprise.
Define standards to monitor and maintain overall marketing database health, including subscriber validity, engagement signals, and suppression logic.
Own the advancement of AI capabilities for the Customer Operations Lifecycle Marketing team, identifying and piloting opportunities to apply AI/ML to day-to-day operations and analytics.
Create clear summaries, visuals, and readouts that make complex behavior easy to understand for non-technical stakeholders.

3+ years of experience in ecommerce, CRM, lifecycle marketing, or a related field with a focus on analytics.
Strong analytical mindset with an understanding of customer data, data hygiene, and database marketing principles.
Strong in SQL and working with large datasets.
Strong communication skills, with the ability to translate complex strategical requirements into technical terminology.
Hands-on experience building workflows to improve operational efficiency via AI (Claude, ChatGPT, etc).

Marketing Analyst, Customer Behavior & Lifecycle

Key skills