About AgelessRxAgelessRx 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 roleAgelessRx is seeking a detail-oriented and results-driven Experimentation Analyst to join our Data and Analytics team. In this role, you will be responsible for setting up, auditing, analyzing, and presenting results for our A/B and multivariate experiments across various product areas such as hero images, landing pages, funnels, and more. You will work closely with cross-functional teams, including Product, Engineering, and other stakeholders, to drive customer growth, enhance user engagement, and optimize the patient experience.What you'll doApply best practices for experiment design by supporting hypothesis definition, KPI selection, requirements gathering, experiment coordination, event audit, process documentation, and post-hoc analysesAnalyze experiment results and compile post-hoc analyses to provide actional insights that inform product development decisions, including prioritizing new features, enhancements, and optimizations for user engagement, conversion, and retentionMaintain and monitor the operational status of experiment queues, roadmaps, test schedules, and in-flight testsWork closely with the Product and Engineering teams to implement findings from testingManage the full experiment lifecycle, including experiment queues, test schedules, and in-progress experiments, ensuring timely execution and accurate data collectionPartner closely with product and engineering teams to communicate test findings and ensure successful implementation of test-driven insightsCollaborate with cross-functional teams, including product management, design, and engineering, to understand business needs and translate them into effective experimentation strategiesTroubleshoot experimental setups in collaboration with Engineering, including working on metric definitions, targeting segments, regular expressions, and data integrity issuesQualificationsBachelor’s degree in Mathematics, Statistics, Physics, Engineering, Economics, Finance, or a related fieldAt least 1 year of hands-on experience in implementing and analyzing A/B and multivariate experiments for ecommerce optimization or similar experienceProficiency with A/B testing platforms (experience with StatSig preferred) and basic understanding of HTML for experiment setupWorking knowledge of databases using SQLFamiliarity with web analytics tools (Heap or similar) for deriving actionable insights from user data is a plusFamiliarity with data visualization and dashboarding tools (e.g. Tableau) to communicate findings effectively is a plusFamiliarity with statical analysis tools such as Python, R, or similar is a plusExperience in ecommerce or telehealth industries is a plusExcellent written and verbal communication skills with the ability to translate complex analytical findings to diverse audiences
