Lead Data Analyst, Web
AgelessRxAbout the role
About AgelessRx
AgelessRx is a first-of-its-kind, longevity-focused telehealth platform with an e-commerce component. Our mission is to collectively give people millions of extra healthy years, so everyone can enjoy more of what they love in a world where people are empowered to live as long as they want. We believe aging should no longer be treated as a dreadful inevitability, but instead, as a puzzle that can be solved, a fight that can be fought – just as a disease with a cure. Through our free-to-use platform, we offer trusted, data-driven longevity solutions and scientifically backed prescription therapies to help safely lower the risk of age-related diseases.About the role
AgelessRx is looking for an experienced Marketing Analytics Lead to join the Data and Analytics team. This role would be responsible for implementing measurement and attribution strategies, analyzing marketing campaign performance, delivering insights and recommendations, and maintaining the ownership of event tracking. This role will partner cross-functionally with Engineering, Product, and Marketing teams to drive customer growth, as well as maximize ROAS.
What you'll do
Deep understanding of tracking, pixel implementation, and datalayer events, including implementing Google and Meta Conversion APIs
Lead the design, execution, and analysis of A/B and multivariate tests, promoting customer growth
Compile proactive analyses, identifying gaps and opportunities for KPI improvements (CAC, LTV, etc.)
Analyze data to develop essential dashboards, reports, and tools informing customer engagement and retention strategies
Collaborate with Marketing, Engineering, and Product to integrate marketing data with internal systems, enabling comprehensive customer journey analysis, including first and last touch attribution
Conduct quality checks and drive continuous improvement in data collection, integration, and accuracy to instill confidence in data integrity among teams
What you'll bring
5+ years of marketing analytics experience with an emphasis on implementing, understanding, and analyzing performance
Fluent in event and cookie tracking methodologies, and can work directly with engineers to validate and debug tracking issues
Expert proficiency in SQL, data visualization tools (Tableau, Looker, etc.), and Google Analytics 4
Proficient in full funnel measurement methods and cross-device attribution; econometric modeling or Media Mix Modeling (MMM) a plus
Experience monitoring and analyzing performance of paid acquisition platforms (Google, Facebook, X, YouTube) as well as non-paid acquisition (PR, organic, SEO).
Experience with server-side tracking solutions (e.g., Google Tag Manager, Stape)
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