Growth MarTech Senior Specialist

As a Growth MarTech Senior Specialist at Crypto.com, you architect and own the complete marketing technology stack that powers user acquisition and growth analytics. You combine deep expertise in web and mobile tracking, ad platform mechanics, advanced attribution, and data engineering to deliver clean, actionable signals that drive measurable business impact across all growth channels.

What you'll do

• Own end-to-end web tracking architecture across Google Analytics 4 (GA4) and Google Tag Manager (GTM), define and document Data Layer requirements for the engineering team, and ensure accurate web tracking signals and conversion events route seamlessly back to key ad platforms.
• Partner with engineering to implement, test, and maintain mobile app tracking across AppsFlyer and Firebase for both SDK events and Server-to-Server (S2S) events, architect a standardized event taxonomy, and manage overall AppsFlyer health.
• Take deep ownership of how ad platforms consume your data by partnering with User Acquisition channel owners to unblock tracking bottlenecks, troubleshoot platform-specific signal loss, and proactively enrich tracking signals such as backend LTV scores or customized events passed back to ad platforms.
• Lead end-to-end audits of the tracking and reporting foundation to resolve data gaps, latency issues, and discrepancies across tracking tools, internal BI, and ad platforms, and establish automated QA monitoring to detect event drop-offs or tracking anomalies.
• Support the build of measurement solutions across the full attribution spectrum, from Last-Touch to Multi-Touch Attribution (MTA) and Media Mix Modeling (MMM), and help operationalize these models to evaluate true user acquisition performance.
• Analyze user acquisition performance, customer acquisition cost (CAC), lifetime value (LTV), and user cohorts to translate insights into actionable strategies for scaling high-performing channels.
• Support the design, implementation, and analysis of incrementality tests to measure the true causal impact of growth efforts and validate overall ROI.
• Partner with Data Engineering to manage growth data requests, ensuring event streams are clean, structured, and accurately mapped into growth data pipelines.
• Write complex SQL to mine large datasets, build custom tables, and execute high-velocity ad-hoc analysis.
• Build and maintain automated dashboards using Tableau and Databricks, and integrate AI Agents to streamline reporting workflows and surface deeper insights for leadership and business teams.
• Collaborate with Growth, Product, Engineering, and Data teams to translate complex marketing and analytics use cases into precise technical requirements and actionable project tickets.
• Create, scale, and maintain comprehensive internal documentation covering tracking architecture, event taxonomies, and growth data schemas.

What you bring

• A 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), including the ability to define Data Layer requirements, route ad tracking signals, and debug network setups.
• Deep expertise in ad platform signals and mechanics, including hands-on experience solving platform-specific tracking challenges with Meta CAPI, AEM, Google conversion signals, event postbacks to DSPs and ad networks.
• Deep expertise in mobile app tracking, specifically with AppsFlyer and Firebase, including experience standardizing event taxonomies and overseeing both SDK and Server-to-Server (S2S) event integrations.
• Understanding of advanced attribution frameworks (MMM, MTA) and proven experience designing and executing incrementality tests such as holdouts and 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 such as Segment and Braze and how they route data signals to downstream channels and systems.
• Understanding of privacy-centric tracking mechanisms including Google Consent Mode and SKAdNetwork.
• Advanced SQL skills for mining large datasets, creating custom tables, and executing ad-hoc analysis, alongside hands-on experience with Databricks and Tableau.
• Exceptional communication skills with a proven ability to translate complex marketing and business needs into precise technical tickets for Engineering and Data teams.
• Strong organizational skills with experience building comprehensive internal technical documentation and managing multiple high-priority projects.

Nice to have

• Experience in Crypto, FinTech, or Technology sectors.