Growth Analyst, Digital Product & CRM; Loyalty

Growth Analyst, Digital Product & CRM (Loyalty)

Base salary: $75,000 - $85,000 + annual bonus potential. 100% remote in the United States.

About the Company:

Potbelly Sandwich Shop is a nationally recognized neighborhood sandwich shop with over 400 locations across the United States. We value creativity, collaboration, and experimentation.

• Competitive pay with performance-based annual raises!
• Medical, Dental & Vision Insurance
• Domestic Partnership Benefits
• Paid Parental Leave
• FSA and HSA with Employer Contribution
• Commuter Benefit Program
• Retirement Savings 401(k) WITH company match
• Employee Assistance Program
• Paid Time Off
• Discount Program
• Flexible Work Schedule
• Career growth opportunities

At Potbelly, we believe in feeding smiles — and that starts with understanding and connecting with our guests through data, insights, and innovation.

The Growth Analyst, Digital Product & CRM (Loyalty) transforms data into meaningful insights that drive guest engagement, digital adoption, and loyalty growth. You’ll sit at the intersection of product, marketing, and analytics — using data to shape strategy, fuel experimentation, and deliver experiences that make every digital interaction count.

• Lead a Culture of Experimentation
• Design and execute A/B and multivariate tests across digital product features, CRM, and loyalty channels.
• Develop structured testing roadmaps prioritizing high-impact hypotheses and ensuring statistical rigor.
• Define success metrics for feature launches, campaigns, and guest engagement initiatives.
• Embed experimentation frameworks into both marketing and product development cycles.
• Elevate Product Analytics
• Partner with Product and UX to define KPIs and measure feature adoption, engagement, and retention across digital touchpoints.
• Translate user behavior, journey flow, and loyalty data into actionable insights that influence the digital product roadmap.
• Identify friction points and growth opportunities across app, web, and online ordering experiences.
• Conduct post-launch analyses to evaluate feature success and guide future iterations.
• Analyze and Optimize Campaign & Loyalty Performance
• Monitor CRM, loyalty, and digital campaign performance to identify lift drivers and engagement trends.
• Build dashboards and reports that balance marketing and product KPIs — from conversion rates and redemptions to feature adoption and guest lifetime value.
• Conduct control group and lift analyses to measure impact across channels and audiences.
• Recommend optimization strategies for targeting, offers, and personalization based on test results.
• Strengthen Data Infrastructure & Collaboration
• Work closely with Data and Martech teams to enhance measurement, testing, and reporting capabilities.
• Ensure consistency and accuracy of data across loyalty, CRM, and product analytics systems.
• Automate dashboards and standardize KPIs for a unified view of digital performance.
• Partner cross-functionally to align data insights with business, product, and marketing goals.
• Communicate Insights that Drive Action
• Present insights in clear, compelling narratives that connect data to guest behavior and business strategy.
• Influence decisions across Marketing, Product, and Leadership through data storytelling.
• Act as a trusted advisor on experimentation, performance management, and digital optimization.

• Bachelor’s degree in Analytics, Mathematics, Statistics, Engineering, Economics, or a related quantitative field.

• 4+ years of data analysis experience using SQL, R, Python, or similar tools.
• 4+ years of dashboarding experience (Tableau, Power BI, or similar platforms).
• 2+ years in product analytics, CRM, or loyalty analytics — ideally in hospitality, retail, or fast‑casual dining.
• Proven success designing, executing, and analyzing A/B tests and growth experiments.
• Experience translating behavioral and loyalty insights into product roadmap recommendations.

• Deep knowledge of experimental design, hypothesis testing, and statistical evaluation.
• Strong understanding of product, marketing, and loyalty performance metrics.
• Ability to connect quantitative insights…