We’re looking for a strategic, influential, and analytical Customer Insights & Analytics Lead to help Sweetgreen deeply understand our new and existing customer behavior, menu and pricing opportunities, and offers and loyalty program performance, and to uncover data-driven opportunities that fuel growth. This role is responsible for turning data into actionable insights that inform decision-making across marketing, loyalty, creative, menu, and CX teams. Key Responsibilities This role will be the critical driver of the ‘data - insights - action’ loop to drive faster decision making that enables growth of the brand and the business. The ideal candidate will be excited to pioneer and build a new function within Sweetgreen with strong cross-functional alignment and influence. The key responsibilities of the role include: Leadership and Influence Deliver the insights and analysis that inform Sweetgreen’s customer strategy, content, menu, promotions, and brand decisions. Lead insights strategy and expand both quantitative and qualitative insights and analysis capabilities in partnership with our Data Science and Analytics Team. Develop sweetgreen’s AI-driven insights toolkit and customer research practices, improving visibility into customer needs and behavior, fueling faster testing pipelines, and identifying cultural and competitive trends. Translate complex data into compelling stories and executive-level presentations. Collaborate cross-functionally across Marketing, Product, Engineering, Finance, and Store Ops analytics and leadership teams to present holistic perspectives and solutions. Customer Insights & Segmentation Analyze customer data across the business (customer history, product analytics, customer engagement, and VoC) to identify key growth opportunities via acquisition, retention, and increased LTV. Recommend and leverage leading-edge technologies to inform target customer segments and drive customer behavioral change. Analyze customer behavior and the link to menu engagement and marketing calendar performance to understand drivers of frequency, spend, and churn. Guide creation of key customer journeys, use occasions, and personas to inform marketing and product strategies. Own customer measurement and reporting strategy to provide ongoing measurements of business health, shifts in customer patterns, and loyalty and CRM performance. Marketing Performance Analytics Evaluate the effectiveness of marketing campaigns in driving customer behavior change across owned, earned, and paid channels (e.g. increased frequency, share of voice, share of wallet, etc) Partner with the Finance team to define investment guardrails and determine ROI for marketing spend. Establish a regular reporting framework that can speed decision-making and help optimize marketing investment. Drive a holistic understanding of performance across ordering channels (in-store, digital, marketplace, etc) to inform areas of focus and strategic need. Personalization & Predictive Analytics Drive a deeper near-real-time understanding of CRM, Loyalty, and personalized marketing performance. Measure incrementality and effectiveness of loyalty offers and content personalization. Ideate and evaluate strategic test opportunities in partnership with CRM, Loyalty, and Product. Partner with retention marketing and analytics teams to move to a more predictive, personalized, and AI-driven approach to mitigate churn and drive customer frequency.
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Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees