Location
Egypt; Argentina; Ethiopia; Nigeria; South Africa
Employment Type
Contract
Location Type
Remote
Department
Tech & Finance
Benefits:
- $2.5K – $3.2K per month
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.
Job 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.
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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
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 frameworks across the organization.
Tracking & Marketing Technology
- Own Google Tag Manager, GA4, pixel governance, and conversion tracking across platforms.
- Ensure proper UTM tagging and campaign attribution for accurate performance measurement.
- Support paid media and lifecycle teams with clean, actionable data for segmentation and optimization.
- Evaluate, implement, and recommend new martech tools as business needs evolve.
AI & Future Readiness
- Build a data foundation to support predictive analytics and personalization initiatives.
- Identify opportunities to automate reporting and streamline data operations.
- Stay current on emerging data tools and bring recommendations for adoption.
Requirements:
- 4-5 years of experience in marketing analytics, data operations, or marketing technology.
- Hands-on experience with GA4 and Google Tag Manager.
- Experience with Segment or similar Customer Data Platforms (CDPs).
- Familiarity with Customer.io, Klaviyo, or other lifecycle marketing platforms.
- SQL proficiency to query and analyze data.
- Experience with Looker Studio, Tableau, or similar dashboard and reporting tools.
- Familiarity with BigQuery, Snowflake, or similar data warehouses is a plus.
- Experience connecting systems via APIs and webhooks.
- Background in DTC, ecommerce, telehealth, or subscription businesses preferred.
Qualifications:
- Strong communicator with the ability to translate complex data into clear, actionable insights for non-technical stakeholders.
- Highly organized and detail-oriented with a proactive approach to problem-solving.
- Comfortable operating in a fast-paced, multi-brand environment with shifting priorities.
- Self-directed and capable of owning infrastructure decisions end to end.
What Success Looks Like
- Visibility: Leadership has a clear, accurate picture of business performance at all times.
- Attribution: Every channel, campaign, and flow is tracked and measured accurately.
- Reliability: Data across the stack is clean, consistent, and trusted by the team.
- Scale: Data infrastructure supports new brands and products seamlessly as the company grows.
Method Of Application
Qualified and interested applicant should click the APPLY HERE LINK below to start filling out the application form and submit it before the deadline.
APPLY HERE
Deadline: Not Disclosed
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