AgelessRx

Compensation

Full Description

About the role The Data Analyst IV, Marketing is a senior, high-impact individual contributor role focused on driving measurable performance across the full marketing funnel—from paid acquisition and web conversion to lifecycle engagement. You will partner closely with Growth, Lifecycle, and Brand teams to build robust data infrastructure, reporting, and insights that power AgelessRx’s marketing strategy. Leveraging tools like Heap, Braze, and major paid media platforms (Meta, Google Ads, TikTok), you will optimize media spend performance, accelerate testing, and improve CAC, LTV, and ROAS. This is a high-autonomy role for a self-directed analyst who can quickly ramp up, deliver actionable insights independently, and directly impact growth. This role sits within the centralized Data & Analytics team and collaborates cross-functionally with Marketing, Lifecycle, and Engineering stakeholders. What you'll do Growth & Funnel Analytics Lead analytics across the current marketing funnel—from impression to sale—driving profitable growth at scale Landing Page & Web Funnel performance (strong preference for experience with Heap) Lifecycle Marketing engagement and retention (strong preference for Braze) 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 Data Modeling & Analytics Infrastructure 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 Campaign & Media Optimization 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 Prospect CRM & Email Experimentation 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 Collaborate with Lifecycle and Growth teams to ensure cohesive messaging across channels from first touch to first order Own reporting and insights on top-of-funnel CRM performance, driving action through segmentation, automation, and A/B testing Strategic Impact & Cross-Functional Leadership 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 What you bring 7+ years of experience in data or marketing analytics, with demonstrated impact in growth-stage or consumer-focused companies Proven track record owning analytics for marketing or growth teams and driving measurable results Advanced SQL skills with comfort working on large, complex datasets Hands-on experience building and maintaining data models in dbt Strong BI skills — ability to build and maintain dashboards and reports (Tableau or equivalent preferred) Advanced analytical skills — experience with in-depth analysis, ideally using notebook environments such as Hex, paired with Python proficiency Experience with marketing measurement techniques such as marketing mix modeling (MMM), incrementality testing, and causal inference Deep understanding of digital marketing ecosystems, including paid social, search, display, email, and affiliate channels Experience with product analytics tools — strong preference for Heap; Amplitude or Mixpanel also relevant Experience with lifecycle/CRM platforms — strong preference for Braze; experience with SFMC or Klaviyo also relevant Experience with paid media analytics — strong preference for Meta, Google Ads, TikTok, or similar platforms Self-starter with exceptional business intuition, communication skills, and cross-functional collaboration ability Comfortable working in fast-paced, ambiguous environments with a high degree of ownership