Note: The job is a remote job and is open to candidates in USA. Marathon Health is a leading advanced primary care provider, partnering with employer and union plan sponsors to improve health for millions of Americans. They are seeking a Marketing Analytics Lead who will be responsible for building attribution models, dashboards, and structured datasets to enhance the marketing team's understanding of member engagement. This role requires collaboration across various teams to optimize marketing strategies based on data-driven insights.

Responsibilities

• Build and maintain Marathon's marketing attribution model, identifying which touchpoints across email, SMS, push, direct mail, and care team outreach are influencing activation, empanelment, and sustained engagement
• Develop standardized campaign performance dashboards for use by the marketing team for optimization
• Own funnel analysis across the full member journey from eligibility through activation, empanelment, and sustained engagement identifying where and why members drop off
• Design and analyze incrementality tests that isolate true lift from campaigns versus organic member behavior
• Partner with the lifecycle marketing manager and marketing automation team members to define test methodology, measurement plans, and success criteria across incrementality, A/B, and other experiment types, and own the analysis and reporting that turns results into clear optimization recommendations
• Serve as the analytical connective tissue across marketing automation, engagement enablement, product, data, and engineering teams, ensuring data flows correctly and is interpreted consistently

Skills

• Bachelors degree in marketing or related field
• 3-6 years of experience in marketing analytics, growth analytics, or a related function, ideally in consumer health, digital health, or subscription context
• Proficiency in Tableau or equivalent BI tool
• Ability to build dashboards from scratch, not just maintain existing ones
• Strong SQL skills
• Comfort pulling data from multiple systems and sources
• Working knowledge of attribution modeling methodologies and their tradeoffs
• Experience designing and interpreting A/B tests with statistical rigor
• Familiarity with marketing technology and data platforms like Iterable, Braze, or equivalent
• Ability to work cross-functionally with technical teams including data engineering and product
• Intellectually curious about why people behave the way they do, and motivated to find the data that answers that question
• Comfortable building in ambiguity, including defining the right question before answering it
• Strong communicator who can translate complex analytical findings into plain language recommendations for non-technical stakeholders
• Detail-oriented and rigorous about data quality, but pragmatic enough to ship insights before everything is perfect
• Motivated by mission; you want the work to connect to real health outcomes, not just marketing metrics

Company Overview

Company H1B Sponsorship