Growth MarTech Senior Specialist

Role Overview

The Growth MarTech Senior Specialist will be responsible for MarTech architecture, tracking, auditing, and enrichment, as well as advanced measurement, attribution, and incrementality analysis. They will partner with Data Science and Engineering to ensure clean, structured signal data is feeding into measurement models and triangulate insights across these frameworks and growth metrics to evaluate true user acquisition performance.

What You Will Do

Key responsibilities include owning the end-to-end web tracking architecture, defining and documenting Data Layer requirements, and ensuring accurate web tracking signals and conversion events are seamlessly routed back to key ad platforms via GTM. They will also partner closely with the engineering team to implement, test, and maintain tracking across mobile apps (AppsFlyer, Firebase) for SDK events and Server-to-Server (S2S) events.

Why It Might Be a Fit

The ideal candidate will have deep, hands-on proficiency with Google Analytics 4 (GA4) and Google Tag Manager (GTM), as well as expertise in ad platform signals and mechanics, mobile app tracking, and advanced attribution frameworks. They will also have strong organizational skills and experience building comprehensive internal technical documentation.

Requirements

• Bachelor’s degree (or higher) in Data Analytics, Computer Science, Information Systems, Business, Statistics, Marketing, or a related quantitative field.
• 4+ years of dedicated experience in MarTech tracking, growth analytics, and digital marketing data analysis.
• Deep, hands-on proficiency with Google Analytics 4 (GA4) and Google Tag Manager (GTM).
• Deep expertise in ad platform signals and mechanics.
• Deep expertise in mobile app tracking, specifically with AppsFlyer and Firebase.
• Understanding of advanced attribution frameworks (MMM, MTA) and proven experience designing and executing incrementality tests (holdouts, conversion lift studies).
• Understanding of digital marketing economics, including user acquisition optimization, customer acquisition cost (CAC), lifetime value (LTV), cohort analysis, and paid media strategies.
• Understanding of CDP/CRM tools (e.g., Segment, Braze) and how they route data signals to downstream channels and systems.
• Understanding of privacy-centric tracking mechanisms (e.g., Google Consent Mode, SKAdNetwork).
• Advanced SQL skills for mining large datasets, creating custom tables, and executing ad-hoc analysis, alongside mandatory hands-on experience with Databricks and Tableau.