Data Analyst, Marketing — United States

About The Company

Twin Health is a pioneering company dedicated to empowering individuals to improve and prevent chronic metabolic diseases such as type 2 diabetes and obesity through a revolutionary standard of care. Leveraging proprietary AI Digital Twin technology, Twin Health creates dynamic models of each person's metabolism by aggregating thousands of data points from continuous glucose monitors (CGMs), smartwatches, and meal logs. This personalized metabolic map guides members on their unique path to better health. Under the guidance of a dedicated clinical care team, members have successfully lowered their A1C levels below diabetic thresholds, achieved sustained weight loss, and reduced or eliminated medications, resulting in healthier and happier lives.

Our team is passionate, talented, and united by a shared mission to improve the metabolic health and well-being of our members. Twin Health fosters a supportive and collaborative work environment where every employee is empowered to make a meaningful impact. The company has earned numerous accolades including Innovator of the Year by the Employer Health Innovation Roundtable, inclusion in CB Insights' Digital Health 150, and recognition as one of Newsweek's Top Most Loved Workplaces®.

With over $100 million raised in recent funding rounds, including a $53 million Series E led by Maj Invest in 2025 and a $50 million investment led by Temasek in 2023, Twin Health is rapidly scaling across the United States and globally. Backed by leading venture capital firms such as ICONIQ Growth, Sequoia, Sofina, Temasek, and Peak XV, Twin Health is building the most impactful digital health company worldwide. Join us as we reinvent the standard of care in metabolic health.

About The Role

This role sits at the intersection of marketing strategy, data analytics, and technical execution. As a Marketing Analytics Lead, you will transform raw campaign and behavioral data into actionable insights that inform decision-making across all levels of the organization—from channel owners to the executive team. Your initial focus will be on establishing trusted, consistent performance baselines across email, direct mail, and digital channels, identifying inconsistencies in data, and determining what strategies are effective.

As the role evolves, you will develop sophisticated attribution, marketing mix, and scoring models to optimize budget allocation and targeting. You will act as the most demanding user of our data foundation, querying across multiple sources to answer complex marketing questions, identifying gaps and inconsistencies, and collaborating with the data engineering team to improve data capture and modeling. This is a hands-on, high-impact individual contributor position ideal for a professional who thrives working independently in a fast-paced environment and is comfortable both analyzing data warehouses and presenting findings to senior leadership.

Qualifications

• 8+ years of experience in marketing analytics, performance marketing analytics, data analytics, or a closely related field

• Strong analytical judgment demonstrated by reframing questions, identifying data flaws, or influencing decisions

• Proven expertise in measuring email, direct mail, and digital marketing performance, including channel mix, budget allocation, CPM, CAC, ROAS, and conversion rate optimization

• Proficiency in writing and validating complex SQL queries against cloud data warehouses (Snowflake preferred), with or without AI assistance

• Working knowledge of attribution, marketing mix modeling, incrementality, and paid channel analysis

• Experience with scoring and predictive models such as propensity models, marketing mix models, or Bayesian methods, with depth in at least one area

• Understanding of tracking and instrumentation technologies (UTMs, pixels, tag managers, event taxonomy) and data modeling concepts (facts and dimensions)

• Solid grasp of A/B testing methodologies including experiment design, sample sizing, statistical significance, and interpretation

• Experience using AI tools (e.g., Claude) in analysis and reporting workflows

• Excellent communication skills with a track record of presenting complex analysis to senior leadership

• Authorization to work in the U.S. without sponsorship (remote position based in the U.S.)

Preferred Qualifications

• Experience in agency, e-commerce, or startup environments

• Familiarity with marketing or product analytics platforms such as GA4, Amplitude, or Adobe Analytics

• Knowledge of incrementality measurement and experimentation platforms

• Proficiency in SQL, Python, or R for data analysis

• Experience with BI tools like Lightdash, Looker, or Tableau, and familiarity with dbt

• Marketing experience in healthcare or other regulated industries

Responsibilities

• Measure and report on channel performance across email, direct mail, and digital, defining key metrics and building comprehensive reporting dashboards

• Own digital analytics end-to-end, including event tracking, tagging strategy, and ensuring accurate data capture in collaboration with engineering teams

• Develop and maintain attribution and marketing mix models to quantify channel contributions and optimize budget allocation

• Analyze paid channel performance metrics such as spend efficiency, ROAS, and incrementality, translating findings into actionable optimization recommendations

• Partner with channel owners to translate campaign goals into testable hypotheses and provide analysis before, during, and after campaign execution

• Profile audiences by integrating multiple data sources to size and describe segments for targeting, and recommend messaging strategies

• Analyze funnel and landing page performance from impression to enrollment, recommending improvements to increase conversion rates

• Write complex SQL queries to explore, join, and reconcile data across marketing technology platforms and data warehouses, validating results rigorously

• Identify data quality issues including gaps, conflicting definitions, and tracking errors; collaborate with data engineering to resolve these issues

• Define data requirements for engineering teams to support attribution, mix modeling, and scoring, explaining the importance of each data element

• Document metric definitions and logic critical to marketing analytics

• Lead marketing mix modeling efforts including building, validating, and refreshing models that quantify channel effectiveness and diminishing returns

• Develop propensity and other predictive models to forecast member behavior such as conversion, churn, and engagement, operationalizing scores for targeting and segmentation

• Apply advanced statistical methods including Bayesian network analysis to model marketing drivers and outcomes, supporting causal inference and incrementality analysis

• Collaborate with data engineering to productionize models, monitor performance, and ensure outputs are reliable and actionable for leadership

• Design, execute, and interpret A/B and multivariate tests, establishing testing standards and maintaining a prioritized experimentation roadmap

• Present insights and recommendations clearly to marketing leadership and executive teams

• Collaborate cross-functionally with marketing, engineering, finance, and product teams to align on definitions, attribution models, and measurement standards

• Perform other duties as assigned to support team and company goals

Benefits

• Competitive annual salary range of $145,000 - $165,000

• Comprehensive, employer-sponsored healthcare, dental, and vision coverage for employees, with 80% coverage for family members

• Health Savings Account (HSA) and Flexible Spending Account (FSA) options

• 401(k) retirement savings plan

• Remote work opportunity with a global, accomplished team

• Equity participation opportunities

• Unlimited vacation policy with manager approval

• Generous parental leave: 16 weeks of fully paid leave for delivering parents and 8 weeks for non-delivering parents

• Supportive company culture based on passion, talent, and trust

• Opportunities for professional growth and impact in a fast-scaling digital health company

Equal Opportunity

Twin Health is an equal opportunity employer committed to creating an inclusive environment for all employees. We consider qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected status. We also provide reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in all aspects of the employment process. Our commitment extends to ensuring fair treatment during hiring, promotions, compensation, and all other employment practices.