Senior Digital Analyst
Focus: Adobe Analytics & MarTech
Scope: Regional Individual Contributor
Location: Hong Kong
Position Overview
The Senior Digital Analyst is a hands-on technical specialist driving digital performance analysis, behavioral analytics, and measurement governance across Asia.
Focusing on Adobe Analytics, raw data sources, and marketing technology integrations, this role conducts deep-dive diagnostics, investigates tracking issues, and translates multi-channel digital data into actionable insights and scalable KPI frameworks for regional business leaders.
Key Responsibilities
- Behavioral Analytics & Funnel Insights: Analyze user journeys across Adobe Experience Cloud, web, performance media, CRM, and O2O funnels using custom segments, calculated metrics, and attribution models.
- Deep-Dive Diagnostics: Investigate performance shifts, tracking breakages, and data anomalies beyond standard dashboards using raw exports, joined datasets, and connector outputs.
- BI & KPI Enablement: Design scalable KPI frameworks, lead-indicator templates, and custom dashboards using Adobe Analytics, Power BI/Tableau, AWS QuickSight, and Excel.
- Data Quality & Governance: Define, validate, and troubleshoot Adobe Analytics tagging logic (Tealium / GTM), taxonomy, classifications, and tracking reliability alongside MarTech, IT, and market teams.
Experience & Background
- 7–10 years of hands-on experience in digital/web analytics, BI, or analytics engineering as a technical individual contributor.
- Bachelor’s degree in Quantitative, Business, Data Science, or IT disciplines.
Core Technical Skills
- Adobe Analytics Mastery: Deep, hands-on expertise in Analysis Workspace, custom calculated metrics, attribution modeling, segmentation, and project QA.
- Tagging & MarTech Integration: Proven ability to validate tagging via Tealium / GTM; familiar with broader platforms (Marketo, Adobe Target, Google Ads, Meta, LinkedIn).
- BI & Data Preparation: Advanced skills in Excel (lookups, pivots, data cleaning) and BI tools (Tableau, Power BI, or QuickSight).
- Scripting & Automation (Preferred): Experience with Python, APIs, SQL, or AI/Copilot tools to prepare datasets and automate diagnostic workflows.