Sr Data Analyst, CRM and Personalization

7-Eleven•Irving, TX

About The Position

7-Eleven is transforming customer experience through data-driven personalization. The Senior Data Analyst, CRM & Personalization will uncover insights that shape customer engagement across digital and physical channels and help build the analytics foundation for CRM and personalization at scale. The role works closely with marketing, loyalty, digital product, and data teams to deliver analysis, campaign and program measurement, and actionable customer insights that drive business outcomes. The analyst translates campaign and program results into recommendations on investment, targeting, offers, messaging, timing, channel mix, and contact frequency.

Requirements

Bachelor’s degree in Analytics, Statistics, Marketing, Economics, or a related field, or equivalent practical experience.
At least 3 years of progressively responsible experience in analytics focused on marketing, loyalty, CRM, personalization, lifecycle marketing, or customer insights.
Knowledge of experimental design, control groups, holdouts, incrementality, statistical inference, attribution limitations, and practical interpretation of test results.
Advanced SQL proficiency, including complex customer-level analysis, joins, data validation, and analysis of large datasets in a cloud data warehouse such as Snowflake, Databricks, BigQuery, or equivalent.
Experience with data visualization tools such as Tableau, Power BI, or equivalent, along with strong statistical analysis skills.
Experience analyzing customer, transaction, loyalty, digital behavior, and campaign-exposure data to improve acquisition, engagement, retention, reactivation, frequency, and customer lifetime value.
Experience validating data, investigating discrepancies, and partnering with data or engineering teams to resolve data-quality issues.
Hands-on experience with customer segmentation, campaign measurement, experimentation, and lifecycle analytics.
Excellent communication, collaboration, organization, and stakeholder-management skills.
Strong attention to detail, curiosity, and ability to turn data into actionable insights.
Ability to validate data inputs and outputs, document assumptions, and prevent unreliable audiences or reporting from reaching stakeholders.
Ability to form clear hypotheses, protect test integrity, distinguish correlation from causation, and act on positive and null results.
Commercial acumen connecting customer behavior and campaign results to revenue, margin, retention, visit frequency, basket, and customer value.
Ability to influence across teams and communicate evidence, implications, and recommendations to executives and other stakeholders.

Nice To Haves

Experience in retail, QSR, CPG, ecommerce, subscription, or another high-volume, omnichannel environment.

Responsibilities

Own and evolve the CRM measurement framework, including KPI definitions, metric logic, reporting cadence, source-of-truth dashboards, incremental impact measurement, and lifecycle-stage success criteria.
Translate campaign and program performance into recommendations to improve customer engagement, retention, frequency, customer value, and business results.
Analyze CRM and personalization campaigns across email, app, push, SMS, in-store, and other relevant channels; evaluate performance, identify trends, and recommend optimizations.
Analyze campaign exposure, conversion, engagement, retention, and customer-value outcomes across customer cohorts and lifecycle stages.
Design, execute, and analyze A/B, multivariate, and holdout tests, including hypotheses, success criteria, test design, audience assignment, sample-size considerations, and result interpretation.
Distinguish correlation from causation and translate positive and inconclusive findings into clear recommendations.
Support 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 for eligibility logic, identity resolution, exclusions, suppression, consent, frequency controls, count reconciliation, and pre-launch validation.
Partner with CRM, Loyalty, Martech, Data Engineering, and Digital Product teams to ensure data accuracy, consistency, and alignment with business goals.
Investigate discrepancies across the warehouse, CDP, CRM platforms, dashboards, and downstream performance reporting, and coordinate resolution of root causes.
Document KPI definitions, event and data requirements, audience logic, assumptions, and analytical methodologies.
Build and maintain dashboards and reports tracking KPIs, campaign performance, customer engagement, lifecycle progression, and customer value.
Present findings and recommendations clearly to technical and non-technical stakeholders, including senior leaders.
Lead analytical workstreams 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 formal authority.