Senior Manager, CRM & Personalization Analytics

7-Eleven • Irving, TX

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About The Position

7-Eleven is on a mission to redefine convenience through data-driven personalization and customer engagement. As the Senior Manager, CRM & Personalization Analytics, you will be the strategic and analytical powerhouse behind our customer engagement efforts. This newly created role will lead the development of insights that shape how we connect with millions of customers across digital and in-store touchpoints. You will be responsible for building and scaling our CRM analytics function, leading a small but mighty team, and partnering cross-functionally to drive measurable impact through data.

Requirements

• Bachelor’s or Master’s degree in Analytics, Statistics, Marketing, Economics, or a related field.
• 8+ years of experience in analytics focused on marketing, loyalty, CRM, or personalization in retail, QSR or CPG environments.
• Proven experience leading analytics projects and managing direct reports.
• Strong proficiency in SQL, data visualization tools (e.g., Tableau, Power BI), and statistical analysis.
• Experience with customer segmentation, predictive modeling, and campaign measurement.
• Excellent communication and storytelling skills with the ability to influence non-technical stakeholders.

Nice To Haves

• Familiarity with CRM platforms and CDPs is a plus.

Responsibilities

• Lead CRM & Personalization Analytics: Own the end-to-end analytics strategy for CRM campaigns, loyalty programs, and personalized experiences across channels (email, app, SMS, in-store).
• Team Leadership: Manage and mentor 1–2 analysts, fostering a culture of curiosity, collaboration, and continuous learning.
• Campaign Measurement & Optimization: Develop robust frameworks to measure campaign performance, customer segmentation effectiveness, and personalization impact.
• Customer Insights: Deliver actionable insights on customer behavior, lifecycle, churn, and engagement to inform marketing strategies and define audience targets.
• Test & Learn: Design and analyze A/B and multivariate tests to optimize messaging, timing, and targeting.
• Data Storytelling: Translate complex data into clear, compelling narratives for senior leadership and cross-functional stakeholders.
• Tool & Tech Collaboration: Partner with Data Engineering, Martech, and IT to ensure data quality, accessibility, and integration across platforms.
• Strategic Partnership: Collaborate with CRM, Loyalty, Digital Product, and Merchandising teams to align analytics with business goals.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees