Staff Data Analyst, Growth

About Engine At Engine, we’re transforming business travel into something personalized, rewarding, and simple. For too long, managing travel and spend has been overwhelming and fragmented — we’re here to change that. We believe the future of travel should be seamless and powered by technology that delights customers at every step. That’s why we’re building a platform that brings together corporate travel, a powerful charge card, and modern spend management in one place. To make this vision real, we’re looking for exceptional, mission-driven people to help redefine how businesses manage and experience travel. More than 30,000 companies already rely on Engine to support over 1 million travelers and billions in annual bookings each year. Cash flow positive with rapid growth, we pair exclusive Engine-only rates, industry-leading rewards, and intelligent automation to help businesses save money while delivering world-class personalization and convenience. Backed by Telescope Partners, Blackstone, and Permira, Engine has been recognized as one of the fastest-growing travel and fintech platforms in North America, with honors including the Deloitte Fast 500 and Built In’s Best Places to Work. Your Mission We are looking for a Staff Growth Data Analyst to join our Data organization and support our Marketing, Growth, and Product teams. This person will help us better understand how customers discover, evaluate, activate, convert, retain, and expand on our platform and how our marketing investments, product-led growth motions, and experimentation programs translate into sign-ups, revenue growth, and long-term customer value. This is a high-impact role for someone with deep experience across growth analytics, marketing analytics, product-led growth, and experimentation. You will partner closely with Marketing, Growth, Product, Finance, Engineering, and Data teams to measure performance, optimize acquisition and conversion, evaluate PLG initiatives, and identify the drivers of sustainable growth. The ideal candidate is highly analytical, technically strong, and comfortable operating in ambiguous, fast-moving environments. You should be able to go deep in SQL and data modeling, build scalable reporting and measurement frameworks, design and analyze experiments, and translate complex data into clear recommendations for business leaders. What You’ll Do Lead analytics across marketing acquisition, product-led growth, lifecycle growth, and channel performance, spanning paid, organic, lifecycle, partnership, affiliate, referral, and in-product channels. Own analysis of the full growth funnel, including acquisition, activation, onboarding, conversion, retention, monetization, expansion, and long-term customer value. Develop and improve attribution, campaign measurement, and marketing efficiency frameworks to help the business understand what is driving sign-ups, revenue, CAC, ROAS, LTV, and payback. Lead experimentation analytics across the growth funnel, including A/B tests, incrementality tests, onboarding experiments, landing page tests, lifecycle experiments, pricing/packaging tests, and in-product conversion tests. Design and evaluate experiments end to end, including hypothesis development, metric selection, test sizing, statistical interpretation, readouts, and rollout recommendations. Build dashboards, reporting frameworks, and analytical models that give teams clear visibility into performance across campaigns, channels, segments, cohorts, funnels, and experiments. Analyze customer journeys using campaign data, UTM parameters, product usage data, conversion events, lifecycle touchpoints, and marketing schemas to improve tracking quality and uncover growth opportunities. Develop or support advanced analyses such as LTV modeling, customer segmentation, propensity modeling, churn analysis, product-qualified lead scoring, and upsell/cross-sell opportunity analysis. Partner with Data Engineering and Analytics Engineering to improve data quali