Senior Marketing Analyst

At Twin Health, we empower people to improve and prevent chronic metabolic diseases, like type 2 diabetes and obesity, with a new standard of care. Twin Health is the only company applying AI Digital Twin technology exclusively toward metabolic health. 

We start by building a dynamic model of each person’s metabolism — drawing on thousands of data points from CGMs, smartwatches, and meal logs — that maps their personal path to better health. Guided by a dedicated clinical care team, our members have lowered their A1C below the diabetes range, achieved lasting weight loss, and reduced or even eliminated medications, all while living healthier, happier lives.

Our team at Twin Health is passionate, talented, and united by a shared purpose: to improve the metabolic health and happiness of our members. We believe in empowering every Twin to make a meaningful impact for our members, our clients, and each other, while enjoying a supportive, collaborative work environment.

Twin has been recognized not only for our innovation but also for our culture, including: Innovator of the Year by the Employer Health Innovation Roundtable (EHIR), selected to CB Insights’ Digital Health 150, and named one of Newsweek’s Top Most Loved Workplace® .

With more than $100 million raised in recent funding, including a $53 million Series E round in 2025 led by Maj Invest, and a $50 million investment in 2023 led by Temasek, Twin is scaling rapidly across the U.S. and globally. Backed by leading venture firms like ICONIQ Growth, Sequoia, Sofina, Temasek, and Peak XV, we are building the most impactful digital health company in the world.

Join us as we reinvent the standard of care in metabolic health.

• Measure and report on performance across email, direct mail, and digital — defining the right metrics, building reporting, and surfacing what is working and what is not
• Own digital analytics end to end, including event tracking and tagging strategy, and partner with engineering to ensure data is captured accurately across web and app properties
• Build and maintain attribution and marketing mix models to quantify channel contribution and guide budget allocation across the marketing portfolio
• Analyze paid channel performance — spend efficiency, ROAS, and incrementality — and translate findings into clear optimization recommendations

• Design, run, and analyze A/B and multivariate tests, ensuring sound experiment design, statistical rigor, and clear interpretation of results
• Establish testing standards and a roadmap of experiments that continuously improve channel and campaign performance

• Build and maintain reliable, well-documented data models in Snowflake using dbt and SQL that the marketing team can trust for reporting and analysis
• Connect and integrate data from martech and ad platforms via APIs to bring sources together into unified, analysis-ready datasets

• Translate analysis into clear, well-structured narratives and deliver in-depth, decision-ready insights and recommendations to senior leadership
• Partner cross-functionally with marketing, engineering, finance, and product to align on definitions, attribution, and measurement standards

• Use AI tools such as Claude to accelerate analysis — drafting queries, exploring data, summarizing findings, and prototyping reporting and internal tools
• Continuously evaluate emerging analytics capabilities and recommend adoption where the value is clear
• Other duties as assigned

• 5+ years in marketing analytics, data analytics, or a closely related field, with the experience and technical expertise to function successfully and independently in this role
• Strong SQL skills, including the ability to write complex queries against large datasets
• Hands-on experience with Snowflake and dbt (or comparable cloud data warehouse and transformation tooling)
• Proven experience measuring email, direct mail, and digital marketing performance
• Working knowledge of attribution, marketing mix modeling, and paid channel analysis
• Solid understanding of A/B testing — experiment design, sample sizing, significance, and interpretation
• Practical understanding of analytics tagging and tracking and of how APIs work for pulling and integrating data
• Familiarity with HTML, CSS, and JavaScript — enough to understand tracking implementation, debug data collection, and work alongside engineers
• Demonstrated use of AI tools such as Claude to support analysis, reporting, and workflow automation
• Excellent communication skills, with a track record of presenting in-depth analysis to senior leadership in a clear, decision-ready way
• This remote opportunity based out of the U.S. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

• Agency experience
• E-commerce experience
• Experience with a marketing or product analytics platform (e.g., GA4, Amplitude, Adobe Analytics)
• Familiarity with incrementally measurement and experimentation platforms
• Experience with Python or R for analysis