Data Analyst IV, Marketing

AgelessRx-posted 3 months ago

Senior

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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.

Lead analytics across the current marketing funnel—from impression to sale—driving profitable growth at scale
Analyze Landing Page & Web Funnel performance (strong preference for experience with Heap)
Evaluate Lifecycle Marketing engagement and retention (strong preference for Braze)
Assess 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
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
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

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

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