Sr Data Analyst, CRM and Personalization

7-Eleven is an iconic family of brands with over 86,000 locations, surpassing every retailer in the world. We revolutionize convenience, restaurants and fuel through cutting edge innovation — working hard to be the customer's first choice. 7-Eleven empowers our employees to "activate awesome" and make a meaningful impact in their stores and communities every day. If you're ready to grow, lead and make a difference, come join our team and help shape the future of convenience.

Job Summary:

7-Eleven is transforming the customer experience through data-driven personalization. As a Senior Data Analyst, CRM & Personalization, you will play a critical role in uncovering insights that shape how we engage with our customers across digital and physical channels. This is a new role on a growing team, offering the opportunity to help build the analytics foundation for CRM and personalization  will work closely with marketing, loyalty, digital product, and data teams to deliver impactful analysis, campaign and program measurement, and actionable customer insights that drive business outcomes.

You will translate campaign and program results into recommendations regarding investment, targeting, offers, messaging, timing, channel mix, and contact frequency.

Key Responsibilities:

Measurement strategy and business impact:

Own and evolve the CRM measurement framework, including KPI definitions, metric logic, reporting cadence, source-of-truth dashboards, incremental impact measurement, and success criteria by lifecycle stage.

Translate campaign and program performance into recommendations that improve customer engagement, retention, frequency, customer value, and business results.

Campaign and Program Analytics:

Analyze CRM and personalization campaigns across email, app, SMS, in-store, and other relevant channels to evaluate performance, identify trends, and recommend optimizations.

Analyze campaign exposure, conversion, engagement, retention, and customer-value outcomes across customer cohorts and lifecycle stages.

Customer, Lifecycle and Value Insights:

Analyze CRM and personalization campaigns across email, app, push and SMS, and other relevant channels to evaluate performance, identify trends, and recommend optimizations.

Analyze campaign exposure, conversion, engagement, retention, and customer-value outcomes across customer cohorts and lifecycle stages.

Testing and Experimentation:

Design, execute, and analyze A/B, multivariate, and holdout tests, including hypotheses, success criteria, test design, audience assignment, sample-size considerations, and interpretation of results.

Distinguish correlation from causation and translate both positive and inconclusive findings into clear recommendations.

Audience Development and Activation:

Support the strategy and execution of audience creation within the Customer Data Platform, ensuring segments are precise, scalable, and aligned with campaign objectives, personalization strategies, and lifecycle marketing goals.

Establish audience QA standards, including eligibility logic, identity resolution, exclusions, suppression, consent, frequency controls, count reconciliation, and pre-launch validation.

Data Quality, Governance, and Documentation:

Partner with CRM, Loyalty, Martech, Data Engineering, and Digital Product teams to ensure data accuracy, consistency, and alignment with business goals.

Investigate data discrepancies across the warehouse, CDP, CRM platforms, dashboards, and downstream performance reporting; coordinate resolution of root causes.

Maintain clear documentation for KPI definitions, event and data requirements, audience logic, assumptions, and analytical methodologies.

Reporting and Data Storytelling:

Build and maintain dashboards and reports that track KPIs, campaign performance, customer engagement, lifecycle progression, and customer value.

Present findings and recommendations clearly and concisely to technical and non-technical stakeholders, including senior leaders.

Cross-Functional Leadership and Mentorship:

Lead analytical work streams from business-question definition through recommendation, implementation support, and post-launch measurement.

Help onboard, coach, and mentor junior analysts and marketing partners on segmentation, experimentation, data quality, and analytical best practices.

Influence decisions across Marketing, CRM, Loyalty, Product, Engineering, Martech, Finance, and Operations without relying on formal authority.

Ideal Skillsets & Behaviors:

Strong attention to detail,…