Staff Data Analyst, Growth
New
E
EngineBusiness travel; fintech
Remote - USAFull-TimeStaff
Salary137,275 - 190,000 USD per year
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Job Details
- Experience
- 7+ years of experience
- Required Skills
- SQLBusiness AnalysisMicrosoft Power BISnowflakeTableauProduct AnalyticsData scienceA/B testingLooker
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.
Responsibilities
- 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.
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