Growth MarTech Senior Specialist

Crypto.com; Hong Kong; On-site; HKD 900,000 - 1,500,000; Full time

Job summary

Crypto.com is seeking a data-driven MarTech analytics lead to own tracking, measurement, and data enrichment across web and apps. You will partner with engineering and growth to ensure accurate GA4/GTM signals, Appsflyer/Firebase events, and privacy-compliant data flows.

In this role you will build scalable data pipelines, write advanced SQL, create dashboards in Tableau and Databricks, and help shape MMM/MTA models, LTV analysis, and incrementality testing to optimize crypto growth.

Qualifications

• Bachelor’s degree in a quantitative field.
• 4+ years in MarTech tracking and growth analytics; crypto/fintech a plus.
• Deep GA4 and GTM proficiency; data layer design.
• Expertise in ad platform signals and postbacks.
• Mobile app tracking with AppsFlyer and Firebase.
• Experience with MMM, MTA, incrementality tests.
• Understanding CAC, LTV, cohort analysis.
• Familiarity with CDP/CRM tools and privacy signals.
• Advanced SQL, Databricks and Tableau experience.
• Strong communication and documentation skills.

Responsibilities

• Own end-to-end web tracking architecture across GA4 and GTM.
• Implement and document Data Layer requirements for accurate signals.
• Maintain AppsFlyer and Firebase tracking and SDK/S2S events.
• Audit tracking tools for data quality and privacy-compliant routing.
• Collaborate to optimize ad platform signal consumption.
• Lead data pipelines and automated QA monitoring.
• Translate marketing use cases into engineering tickets.
• Document tracking architecture and data schemas.

Skills

GA4 & GTM

Data Layer design

App tracking

Signal optimization

SQL analytics

Databricks

Tableau

MMM & MTA

Privacy tracking

Cross-functional collaboration

Data storytelling

Education

Bachelor's degree in a quantitative field

Tools

GA4

GTM

AppsFlyer

Firebase

Meta CAPI

AEM

Databricks

Tableau

Job description

Key Responsibilities

• 1. MarTech Architecture, Tracking, Auditing & Proactive Enrichment

• Web Tracking, Debugging & Ad Signal Routing: Own the end-to-end web tracking architecture across Google Analytics (GA4) and Google Tag Manager (GTM). Define and document Data Layer requirements for the engineering team to implement, and ensure accurate web tracking signals and conversion events are seamlessly routed back to key ad platforms via GTM.

• App Tracking & MMP Integration: 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. Architect a standardized event taxonomy, oversee SDK integrations, and manage overall AppsFlyer health.

• Ad Platform Tracking Optimization: Take deep ownership of exactly how ad platforms consume our data. Partner closely with internal User Acquisition (UA) channel owners to unblock tracking bottlenecks, troubleshoot platform-specific signal loss, and proactively enrich tracking signals (e.g., passing backend LTV scores or customized events back to ad platforms). Act as the technical authority who translates complex media platform requirements into actionable tracking solutions to maximize campaign performance.

• Comprehensive Stack Auditing & Enrichment: 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. Move beyond routine maintenance by establishing automated QA monitoring to instantly detect event drop-offs or tracking anomalies, while strictly managing privacy-centric tracking and consent routing.

2. Advanced Measurement, Attribution & Incrementality Analysis

• Attribution Strategy & MMM: Support the build of measurement solutions across the full attribution spectrum—from foundational models (Last-Touch) to advanced frameworks (Multi-Touch Attribution [MTA] and Media Mix Modeling [MMM]). Partner with Data Science and Engineering to ensure clean, structured signal data is feeding into these models. Help operationalize these measurement models and triangulate insights across these frameworks and growth metrics to evaluate true user acquisition performance.

• LTV & Cohort Analytics: Analyze user acquisition performance, customer acquisition cost (CAC), lifetime value (LTV), and user cohorts. Translate these complex data sets into actionable insights to scale high-performing channels and inform broader growth strategies.

• Incrementality Testing & Analysis: Support the design, implementation, and analysis of incrementality tests to measure the true causal impact of growth efforts and validate overall ROI.

3. Data Engineering Collaboration & Advanced BI

• Data Pipeline Collaboration: Partner with Data Engineering to manage growth data requests, ensuring event streams are clean, structured, and accurately mapped into growth data pipelines.

• Advanced SQL & Data Modeling: Write complex SQL to mine large datasets, build custom tables, and execute high-velocity ad-hoc analysis.

• Dashboarding & AI Automation: Build and maintain automated dashboards using Tableau and Databricks. Integrate AI Agents to streamline reporting workflows and surface deeper, more actionable insights for leadership and business teams.

4. Cross-Functional Project Management

• Technical Translation: Collaborate with Growth, Product, Engineering, and Data teams to translate complex marketing and analytics use cases into precise technical requirements and actionable project tickets.

• Internal Documentation: Create, scale, and maintain comprehensive internal documentation covering our tracking architecture, event taxonomies, and growth data schemas.

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. Experience in Crypto, FinTech, or Technology is a strong plus.

• Deep, hands‑on proficiency with Google Analytics 4 (GA4) and Google Tag Manager (GTM), with the ability to define Data Layer requirements, route ad tracking signals, and debug network setups.

• Deep expertise in ad platform signals and mechanics. You must know exactly how ad platforms consume data and have hands‑on experience solving platform‑specific tracking challenges, including 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 (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.

• 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 in a fast‑paced environment.