Engine
Finance / FinServ
StaffGrowthDataAnalyst
Neural analysis suggests this role is
optimal for Lead candidates.
“Staff Growth Data Analyst at Engine. Skills: growth analytics, marketing analytics, product analytics, experimentation, SQL, data modeling, reporting, measurement frameworks, statistical analysis. Lead analytics across marketing acquisition, product-led growth, lifecycle growth, and channel performance. Own analysis of the full growth funnel, including acquisition, activation, onboarding, conversion, retention, monetization, expansion, and long-term customer value”
Industry & Context.
highly analytical; comfortable operating in ambiguous, fast-moving environments; translate complex data into clear recommendations
What They're Looking For.
Must Have
7+ years of experience in growth analytics, marketing analytics, product analytics, business analytics, data science, or a related analytical role, experience supporting Marketing, Growth, Acquisition, Revenue, or Product teams in a high-growth business environment, Experience with product-led growth motions, including self-serve funnels, activation, onboarding, free-to-paid conversion, product-qualified leads, retention, and expansion, Deep hands-on experience with experimentation, including A testing, experiment design, statistical analysis, incrementality measurement, funnel experimentation, and translating results into business recommendations, Hands-on experience with attribution modeling, campaign measurement, UTM tracking, conversion analysis, and marketing performance metrics such as CAC, LTV, ROAS, conversion rate, churn, retention, and payback period, SQL skills and experience working with large, complex datasets, business judgment, communication skills, ability to connect analytical work to customer growth, revenue, margin, efficiency, retention, and long-term business performance, Experience working cross-functionally with marketing, data, product, engineering, and finance teams
Nice to Have
Experience with Marketing Mix Modeling / Media Mix Modeling, Experience with marketing, product analytics, and experimentation platforms such as Google Analytics, Amplitude, Mixpanel, Optimizely, Statsig, Eppo, LaunchDarkly, Google Ads, Meta Ads Manager, or similar tools, Experience with dbt, modern analytics engineering workflows, and cloud data environments, Experience with Python or R for advanced analysis, modeling, automation, experimentation analysis, or statistical work, Experience with customer segmentation, cohort analysis, LTV modeling, propensity modeling, churn modeling, causal inference, lift studies, or product-qualified lead scoring, Experience working in a PLG, self-serve SaaS, marketplace, travel, fintech, e-commerce, or other high-transaction-volume growth environment
What You'll Do.
Lead analytics across marketing acquisition
and channel performance
Own analysis of the full growth funnel
including acquisition
and long-term customer value
Develop and improve attribution
and marketing efficiency frameworks
Lead experimentation analytics across the growth funnel
Design and evaluate experiments end to end
and analytical models
Analyze customer journeys
Develop or support advanced analyses such as LTV modeling
customer segmentation
product-qualified lead scoring
and upsell/cross-sell opportunity analysis
Partner with Data Engineering and Analytics Engineering to improve data quality
event instrumentation
marketing/product data models
and self-service reporting infrastructure
and recommendations clearly to stakeholders
How You'll Work.
Team & Collaboration
partner closely with Marketing, Growth, Product, Finance, Engineering, and Data teams; Partner with Data Engineering and Analytics Engineering to improve data quality, event instrumentation, marketing/product data models, and self-service reporting infrastructure; Communicate insights, tradeoffs, experiment results, and recommendations clearly to Marketing, Growth, Product, Finance, and executive stakeholders; Experience working cross-functionally with marketing, data, product, engineering, and finance teams
Communication Scope
translate complex data into clear recommendations for business leaders; Communicate insights, tradeoffs, experiment results, and recommendations clearly to Marketing, Growth, Product, Finance, and executive stakeholders
Full Job Description
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 20,000 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 s
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