Senior Marketing Analytics & Data Strategy Lead

Twin Health India; Houston (TX); Presencial; USD 140.000 - 190.000; Jornada completa

Descripción de la vacante

In this role you will partner with marketing, data engineering, and product teams to define metric definitions, ensure data quality, and present decision-ready insights to senior leadership in a fast-moving health-tech environment.

Formación

• 8+ years in marketing analytics, performance marketing analytics, data analytics, or a closely related field.
• Sound analytical judgment demonstrated through examples
• Proven experience measuring email, direct mail, and digital marketing performance including channel mix, budget allocation, CPM, CAC, ROAS, and conversion rate optimization
• Comfort writing and validating complex SQL against a cloud data warehouse (Snowflake preferred), with or without AI assistance. Data engineering is

Responsabilidades

• 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
• Partner with channel owners to turn campaign goals into specific, testable questions, and answer them with analysis before launch, while campaigns are in flight, and after they close
• Analyze channel mix, budget allocation, and pacing using CPM, CPC, CAC, conversion rate, and ROAS, and recommend where to shift spend
• Profile audiences across multiple data sources to size and describe segments for targeting, and recommend who to reach and with what message
• Analyze funnels and landing page performance from impression through registration to enrollment, and recommend conversion rate improvements
• Write and reconcile data definitions; document metric logic the marketing team relies on
• 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 and other scoring 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 read A/B and multivariate tests, including sample sizing, significance, and interpretation, and recommend what to test next
• Help establish testing standards and maintain a prioritized roadmap of experiments
• Present findings and recommendations to marketing leadership and the executive team in a clear, decision-ready way
• Partner with marketing, engineering, data engineering, finance, and product to align on definitions, attribution, and measurement standards
• Other duties as assigned

Conocimientos

Marketing analytics

Data analytics

Analytical judgment

Herramientas

SQL

Descripción del empleo

In this role you will partner with marketing, data engineering, and product teams to define metric definitions, ensure data quality, and present decision-ready insights to senior leadership in a fast-moving health-tech environment.