Staff Data Analyst, Growth

Role Overview

• 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 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.

Requirements

• 7+ years of experience in growth analytics, marketing analytics, product analytics, business analytics, data science, or a related analytical role.
• Strong 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/B 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.
• Strong SQL skills and experience working with large, complex datasets, ideally in Snowflake or a similar cloud data warehouse.
• Experience with BI tools such as Looker, Tableau, Power BI, or similar platforms.
• Strong business judgment, communication skills, and 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.

Tech Stack

• Cloud
• SQL
• Tableau

Benefits

• Compensation: Competitive base pay tied to role and experience, with opportunities for bonuses, commissions, and equity.
• Benefits: Check out our full list at engine.com/culture.
• Environments for Success: Different roles have different needs in terms of the environments that drive success which is why we have a hybrid-hub model. Whether you are in one of our amazing offices or fully remote, we’ll make sure you have what you need to succeed.