Growth MarTech Senior Specialist

Role Overview

The Growth MarTech Senior Specialist will be responsible for MarTech architecture, tracking, auditing, and proactive enrichment. They will also work on advanced measurement, attribution, and incrementality analysis, as well as data engineering collaboration and advanced BI. Additionally, they will be involved in cross-functional project management and internal documentation.

What You Will Do

Key responsibilities include owning the end-to-end web tracking architecture, defining data layer requirements, and ensuring accurate web tracking signals are routed back to key ad platforms. They will also partner with the engineering team to implement and maintain tracking across mobile apps, troubleshoot platform-specific signal loss, and proactively enrich tracking signals. Furthermore, they will lead end-to-end audits of the tracking and reporting foundation, establish automated QA monitoring, and strictly manage privacy-centric tracking and consent routing.

Why It Might Be a Fit

The ideal candidate will have deep, hands-on proficiency with Google Analytics 4 and Google Tag Manager, as well as expertise in ad platform signals and mechanics. They will also have experience in mobile app tracking, advanced attribution frameworks, and digital marketing economics. Additionally, they will have strong organizational skills and exceptional communication skills to translate complex marketing and business needs into precise technical tickets.

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.
• 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.
• Hands-on experience with Databricks and Tableau.