Analyst-Data Analytics

In U.S. Consumer Services (USCS), our product is Membership—delivering benefits and services that are essential to our Card Members across travel, dining, entertainment, and retail. We compete by providing a differentiated Membership experience that drives loyalty and long-term growth. USCS brings this to life through our premium, cobrand, cash back, and lending portfolios, Membership Rewards, Travel & Lifestyle Services, the Centurion Lounge network, Global Dining, U.S. Consumer Banking, Amex Offers, Amex Ads, and best-in-class marketing programs. Who We Are Resy is the American Express global dining platform. Our mission is to power the world’s best restaurants, using technology to imagine the future of hospitality. We serve 19,000 restaurants globally. Our customers discover the amazing world of restaurants thanks to our content-rich website and innovative mobile app. Our diners are insiders, and we love having them at the table. We’re hiring, too. Interested in joining our team of restaurant-obsessed explorers? Right this way. About the Role Resy is seeking a talented and motivated SaaS product analytics data professional to join our data team. This role will report to the Sr. Manager of Data Platform and AI Strategy within the Data, Strategy, and Integrations organization, with a strong dotted-line alignment to Product - ensuring priorities are directly driven by the product roadmap. In this high-impact role, you will analyze user behavior, define success metrics, and guide experimentation across consumer, B2B SaaS, and AI-driven initiatives. You will develop and test data-driven strategies that incentivize consumers to shift behavior toward lower-utilization time slots, directly improving venue fill rates and revenue. This includes exploring new approaches, prototyping algorithms, and evaluating emerging technologies (including Generative AI and machine learning) to optimize demand shaping, while ensuring all outputs translate into measurable impact for both product performance and restaurant partners. You will work across the full data lifecycle - from discovery to exploratory analysis and modeling, to experimentation, and finally stakeholder insights - building robust datasets and applying advanced analytics to understand insights and trends within our platform. By translating insights into clear, actionable recommendations, you will shape product strategy, influence roadmap decisions, and help de-risk key initiatives. This role is designed for an analytical builder - someone who thrives in ambiguity, enjoys rapid prototyping and iteration, and is equally comfortable diving into data, influencing product direction, and driving measurable outcomes. By combining deep analysis with forward-looking experimentation, this role will accelerate product innovation, drive growth across demand generation and partner integrations, and help Resy deliver world-class hospitality experiences powered by data. Partner with Product stakeholders to define success metrics, shape roadmaps, and guide strategy with data-informed recommendations Serve as an embedded analytics partner within product squads, owning analytics toolsets, instrumentation strategy, and governance Generate hypotheses, conduct deep behavioral analyses, and identify growth opportunities across product experiences - particularly around demand generation and utilization optimization Design, implement, and analyze A/B tests and experiments, establishing best practices for experimentation and causal measurement Evaluate demand generation strategies aimed at shifting consumer behavior toward lower-utilization time slots to improve venue fill rates and revenue Design and execute incrementality studies to measure impact across key dimensions Develop partner-facing reporting strategy and templates; collaborate with Product and Design on external reporting experiences Develop internal reporting frameworks, KPIs, and dashboards to support product and business decision-making Proactively identify gaps in reporting and metrics coverage, driving accuracy, consistency, and adoption across teams Translate complex findings into clear, actionable insights and compelling narratives for technical and non-technical stakeholders Champion a data-driven culture by mentoring teammates and evangelizing best practices in analytics, experimentation, and visualization Continuously improve methods, tooling, and documentation to elevate data quality and decision-making 2+ years in product analytics, data science, or business intelligence within consumer apps, SaaS, ecommerce, or B2B2C environments Strong foundation in SQL and working knowledge of Python for data analysis, with the ability to manipulate datasets, explore patterns, and generate insights Familiarity with product analytics and BI tools (e.g., Looker, Amplitude) and an eagerness to deepen expertise Familiarity with A/B testing and experimentation platforms (e.g., Optimizely, Statsig , LaunchDarkly , Amplitude Experiments) Analytical thinker with the ability to connect user behavior to business outcomes and identify opportunities to improve product performance Curious and proactive problem solver who is comfortable working through ambiguity and learning new tools, methods, and domains quickly Exceptional communicator, able to distill technical analyses into compelling stories that influence decisions at all levels Detail-oriented with a commitment to data quality, accuracy, and thoughtful analysis Entrepreneurial mindset with the drive to move fast and deliver impact Passion for hospitality and dining, with a desire to help the restaurant industry thrive