Senior Marketing Data Analyst

Twin Health is a digital health company using AI Digital Twin technology to help people improve and prevent chronic metabolic diseases. The Senior Marketing Data Analyst will own measurement and insights across email, direct mail, and digital marketing, building models, analyzing experiments, and translating data into recommendations for leadership. The role partners with marketing, engineering, finance, and product to establish attribution, reporting, and measurement standards.

Responsibilities:

• 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
• Own marketing mix modeling (MMM) end to end — building, validating, and refreshing models that quantify channel contribution, diminishing returns, and saturation to guide budget allocation
• Develop propensity models to predict member behavior — conversion, churn, and engagement — and operationalize scores to drive targeting, segmentation, and lifecycle marketing
• Apply Bayesian network analysis and related probabilistic methods to model relationships between marketing drivers and outcomes, quantify uncertainty, and support causal and incrementality analysis
• Partner with data engineering to productionize models, monitor performance over time, and ensure outputs are reliable, explainable, and decision-ready for leadership
• 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

Requirements:

• 10+ years in marketing analytics, data analytics, data science, 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
• Hands-on experience building data science models — including marketing mix modeling, propensity modeling, and Bayesian network analysis — and applying them to real marketing decisions
• 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
• 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