Data Analyst

• Lead analytics across the current marketing funnel—from impression to sale—driving profitable growth at scale
• Optimize Landing Page & Web Funnel performance (strong preference for experience with Heap)
• Drive Lifecycle Marketing engagement and retention (strong preference for Braze)
• Improve Paid Media performance and budget efficiency (strong preference for Meta, Google Ads, TikTok)
• Define and evolve core growth KPIs, including incrementality, CAC efficiency, LTV:CAC, and campaign ROAS
• Analyze creative performance, audience segmentation, landing page testing, and offer strategy to guide high-ROI optimizations
• Support marketing mix modeling (MMM), incrementality testing, and causal inference to refine attribution strategies and maximize ROAS
• Maintain a strong understanding of digital marketing ecosystems, including paid social, search, display, email, and affiliate channels, to inform holistic marketing measurement and optimization
• Ensure marketing metrics align with broader company goals and support both strategic and tactical decision-making
• Write advanced, performant SQL to power complex analyses and dashboards
• Build and maintain scalable data models in dbt to support self-serve reporting and recurring performance monitoring
• Own marketing data quality and consistency across Marketing, Data & Analytics, and Engineering teams
• Contribute to developing shared analytical frameworks and standardized reporting logic
• Partner with channel marketers to improve efficiency, targeting, and spend allocation across paid platforms
• Maintain and enhance attribution models to better assess cross-channel effectiveness and inform budget strategy
• Forecast CAC and campaign performance across multiple scenarios to guide spend and resource allocation
• Collaborate on audience and creative testing frameworks that drive scalable performance gains
• Use behavioral and transactional data to identify high-performing prospect cohorts and shape targeted CRM strategies
• Analyze the impact of transactional and promotional emails on acquisition, conversion, and early-stage engagement
• Evaluate email experiments (subject lines, send times, offers, creatives) to improve open rates, CTRs, and conversions
• Act as the embedded analytics partner to key stakeholders in Growth, Lifecycle, Brand, and Engineering
• Present complex findings clearly and actionably to technical and non-technical audiences, including senior leadership
• Proactively identify growth opportunities across the funnel and recommend data-driven strategies to unlock revenue
• Translate ambiguous or under-scoped business problems into structured projects with measurable outcomes

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