Responsibilities

• Lifecycle & Loyalty Performance Analysis: Own analysis across email, push, loyalty, offer economics, and third-party delivery to explain guest behavior, channel performance, business impact (i.c. incrementality), and opportunities for growth
• Data Pulls and Analytical Development: Use SQL and analytical tools to access, join, validate, and analyze guest, messaging, loyalty, offer, order, and transaction data from approved sources
• Lifecycle Measurement: Partner with Lifecycle channel leads to define goals, audiences, key performance indicators, measurement plans, and learning agendas for email and push programs
• Loyalty Program Analytics: Evaluate member acquisition, activation, engagement, reward behavior, retention, frequency, spend, and movement through the loyalty lifecycle
• 3PD/Aggregator Analytics: Evaluate third-party delivery promotion performance, including offer redemption, incrementality, order behavior, sales trends, and repeat purchase impact
• Test Design and Evaluation: Help design controlled tests and measurement approaches, including hypotheses, success metrics, audience rules, holdouts, sample requirements, quality checks, and post-test readouts
• Dashboarding and Self-Service Reporting: Develop and maintain actionable dashboards, scorecards, and recurring reports that give channel leads a consistent view of performance and business outcomes
• Strategic Insights and Recommendations: Turn analysis into clear stories and practical recommendations. Work with channel leads to apply findings to audience, offer, loyalty, and partner strategy
• Data Quality and Measurement Governance: Partner with Lifecycle, MarTech, and platform owners to validate audience logic, tracking, offer assignment, and measurement readiness before launch; document definitions, flag data gaps, and improve the reliability of Lifecycle & Loyalty Analytics measurement
• Cross-Functional Collaboration: Work with Lifecycle, Loyalty, Guest Insights, Data, Finance, Operations, and external partners to align questions, methods, definitions, and decision needs

Requirements

• Direct experience in lifecycle/CRM and/or loyalty program analytics.
• Ability to take complex data and turn it into a clear business story with practical recommendations.
• Strong SQL skills, including joining large datasets, developing reusable queries, and validating outputs.
• Experience with Snowflake or a comparable cloud data warehouse
• Experience with data visualization and dashboard design.
• Familiarity with customer data platforms and marketing automation platforms. Experience with mParticle and Braze is a plus.
• Working knowledge of experimentation, holdouts, incrementality, cohort analysis, segmentation, and campaign measurement.
• Ability to manage priorities, document methods, and deliver accurate work on schedule.
• Excellent communication skills with internal and external partners at multiple levels of the organization.
• Bachelor’s degree or equivalent work experience

Preferred

• Experience with mParticle and Braze is a plus.

Benefits

• Weekly Pay and Performance bonuses
• Shake Shack Meal Discounts
• Exclusive corporate discounts for travel, electronics, wellness, leisure activities and more
• Medical, Dental, and Vision Insurance*
• Employer Paid Life and Disability Insurance*
• 401k Plan with Company Match*
• Paid Time Off*
• Paid Parental Leave*
• Access to Employee Assistance Program on Day 1
• Pre-Tax Commuter and Parking Benefits