Company
Telehealth
MarketingDataAnalyst
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Marketing Data Analyst. Skills: Marketing analytics, Data operations, Marketing technology, Data infrastructure. Manage and optimize data flow. Connect and maintain integrations via APIs”
What You'll Achieve.
Accurate picture of business performance; Tracked and measured channel performance; Tracked and measured campaign performance; Tracked and measured flow performance; Clean data across stack; Consistent data across stack; Trusted data across stack; Data infrastructure supports new brands; Data infrastructure supports new products
Industry & Context.
Proactive approach to problem-solving
Work during U.S. business hours, Available to work 9 AM - 5 PM EST
What They're Looking For.
Must Have
4-5 years of experience in marketing analytics, Hands-on experience with GA4, Hands-on experience with Google Tag Manager, SQL proficiency
Nice to Have
Experience with Segment or similar Customer Data Platforms (CDPs), Familiarity with Customer.io, Familiarity with Klaviyo, Familiarity with other lifecycle marketing platforms, Familiarity with BigQuery, Familiarity with Snowflake, Familiarity with similar data warehouses, Experience connecting systems via APIs, Experience connecting systems via webhooks, Background in DTC, Background in ecommerce, Background in telehealth, Background in subscription businesses
What You'll Do.
Manage and optimize data flow
Connect and maintain integrations via APIs
Connect and maintain integrations via webhooks
Connect and maintain integrations via ETL pipelines
Ensure data cleanliness
Ensure data reliability
Support architecture decisions
Build and maintain dashboards
Generate actionable insights
Guide growth strategies
Answer critical business questions
Define KPI frameworks
Standardize KPI frameworks
Own Google Tag Manager
Own conversion tracking
Ensure proper UTM tagging
Ensure accurate campaign attribution
Support paid media teams
Support lifecycle teams
Evaluate martech tools
Implement martech tools
Recommend martech tools
Build data foundation for predictive analytics
Build data foundation for personalization
Identify opportunities to automate reporting
Identify opportunities to streamline data operations
Stay current on emerging data tools
Bring recommendations for adoption
How You'll Work.
Team & Collaboration
Lifecycle teams; Creative teams; Leadership teams; Paid media teams; Product teams; Operations teams
Communication Scope
Translate complex data
Full Job Description
This role is open to candidates based in LATAM, Africa, and Eastern Europe. Please note that as this role supports U.S.-based clients, candidates must be available to work during U.S. business hours aligned with the client’s time zone. Client Overview Our client is a fast-growing telehealth company operating across multiple brands in the direct-to-consumer and subscription health space. They are building scalable infrastructure to support data-driven decision-making across paid media, lifecycle marketing, ecommerce, and product - and they are looking for a sharp, systems-minded analyst to be the connective tissue that holds it all together. Role Overview The Marketing Data Analyst will lead the design, maintenance, and optimization of the company's data and marketing technology infrastructure. This role combines marketing analytics, systems integration, and data operations to ensure accurate, actionable, and scalable data across all brands and platforms. The Data & Marketing Technology Analyst will work closely with lifecycle, creative, and leadership teams to deliver insights, build dashboards, and maintain data integrity across CRM, ecommerce, and analytics systems. Location Fully Remote (Work from Home) | 9 AM - 5 PM EST Key Responsibilities Data Infrastructure & Systems - Manage and optimize data flow across marketing, CRM, ecommerce, and analytics platforms. - Connect and maintain integrations between tools via APIs, webhooks, and ETL pipelines. - Ensure data cleanliness, accuracy, and reliability across all systems. - Support architecture decisions as the company scales and the tech stack evolves. Analytics & Reporting - Build and maintain dashboards to track CAC, LTV, ROAS, churn, conversions, and retention. - Generate actionable insights from customer behavior and funnel data to guide growth strategies. - Partner with lifecycle, creative, and leadership teams to answer critical business questions with data. - Define and standardize KPI framewor
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