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Senior Analyst, Lifecycle & Loyalty Analytics

Job in New York, New York County, New York, 10261, USA
Listing for: Shake Shack
Full Time position
Listed on 2026-09-12
Job specializations:
  • IT/Tech
    Data Analyst, Business Intelligence
Salary/Wage Range or Industry Benchmark: 121650 - 159650 USD Yearly USD 121650.00 159650.00 YEAR
Job Description & How to Apply Below

Our secret to leading the way in hospitality? We put our people first!

At Shake Shack, our mission is to Stand For Something Good in all that we do. From our teams to our neighborhoods, we're committed to always doing the right thing. As one of the fastest-growing hospitality brands, we're all about crafting unforgettable experiences for our guests. We offer endless learningopportunitiesandthe chance to make a lasting impact on our business, restaurants, and communities.

As a member of the #Shack Fam, you’ll have access to hands‑on mentorship, training, and growth potential, all in a fun and inclusive environment.

Join us and Be a Part of Something Good.

Job Summary:

The Senior Analyst, Lifecycle & Loyalty Analytics will help scale the analytics practice supporting Shake Shack’s owned media channels, with a focus on email, push communications, loyalty program performance, and third‑party delivery promotions. The role will integrate guest, channel, campaign, offer, and transaction data to assess performance, uncover growth opportunities, and inform strategic decision making. In partnership with Lifecycle Marketing, Product, Mar Tech, IT, Finance, and external partners, the analyst will develop data‑driven reporting, prepare and analyze data, design and evaluate tests, and translate insights into actionable channel strategies and recommendations.

The role will serve as a strategic analytics partner, using data and insights to optimize channel performance, strengthen guest engagement, and drive measurable business results.

Job

Responsibilities and Duties:

  • 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, Mar Tech, 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

  • Analytics Practice Development:
    Help establish repeatable ways of working for intake, prioritization, analysis, testing,…

Position Requirements
10+ Years work experience
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