Senior Marketing Analyst

Twin Health; United States; Remote; USD 125,000 - 145,000; Full time

Benefits offered by this job

Remote work

Equity opportunity

Unlimited vacation

Parental leave

Healthcare coverage

401k

Job summary

Twin Health is seeking a Senior Marketing Analyst to own measurement and insight across marketing channels, turning raw data into actionable analysis for decisions at all levels. You will build end-to-end digital analytics, attribution models, and marketing mix models, collaborating with engineering, finance, and product in a fast-moving environment.

This remote US-based role requires 10+ years in marketing analytics, strong SQL, Snowflake/dbt experience, and a track record of influencing

Qualifications

• 10+ years in marketing analytics, data analytics, data science, or a closely related field.
• 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.
• Excellent communication skills with a track record of presenting in-depth analysis to senior leadership.
• 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.

Responsibilities

• Measure and report 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 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

Skills

SQL

Marketing Analytics

Data Visualization

Experimentation

A/B Testing

Propensity Modeling

Marketing Mix Modeling

Communication

Python or R

Data Analysis

Tools

Snowflake

dbt

APIs

Job description

Twin Health

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.

Working here

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.

Opportunity

We are looking for a Senior Marketing Analyst to own measurement and insight across our marketing channels — email, direct mail, and digital. This role sits at the intersection of marketing strategy, data, and technical execution, turning raw campaign and behavioral data into clear, actionable analysis that drives decisions at every level, from channel owners to the executive team.

You will serve as the analytical backbone of the marketing organization — defining how we measure performance, designing and reading experiments, building the data models behind our reporting, and translating complex analysis into recommendations leadership can act on. You will partner closely with channel owners, data engineering, finance, and product to align on attribution, measurement standards, and the metrics that matter most.

This is a hands‑on, high‑impact individual contributor role for someone with the experience and technical expertise to function successfully and independently in a complex, fast‑moving environment — someone who is equally comfortable writing SQL against a warehouse, debugging a tracking tag, and presenting an in‑depth analysis to senior leaders.

Responsibilities

Channel Performance Measurement & Analytics

• 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

Data Science & Advanced Modeling

• 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

Experimentation & Testing

• 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

Data Modeling & Engineering

• 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

Insights & Communication

• 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

AI‑Powered Analysis & Innovation

• 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

Qualifications (Required)

• 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
• 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.

Preferred

• 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

Compensation and Benefits

The compensation range for this position is $125,000 - $145,000 annually.

Twin has an ambitious vision to empower people to live healthier and happier lives, and to achieve this purpose, we need the very best people to enhance our cutting‑edge technology and medical science, deliver the best possible care, and turn our passion into value for our members, partners and investors. We are committed to delivering an outstanding culture and experience for every Twin employee through a company based on the values of passion, talent, and trust. We offer comprehensive benefits and perks in line with these principles, as well as a high level of flexibility for every Twin

• A competitive compensation package in line with leading technology companies
• A remote and accomplished global team
• Opportunity for equity participation
• Unlimited vacation with manager approval
• 16 weeks of 100% paid parental leave for delivering parents; 8 weeks of 100% paid parental leave for non‑delivering parents
• 100% Employer sponsored healthcare, dental, and vision for you, and 80% coverage for your family; Health Savings Account and Flexible Spending Account options
• 401k retirement savings plan

Salary range for US jobs

US Salary Range

$125,000—$145,000 USD

We have been made aware of fraudulent interview requests being sent using the Twin Health’s name. All communications will come from official Twin Health channels and a twinhealth.com email address. We will never ask you to complete a text interview or request financial details during the interview process.