Marketing Data Analyst (Technofunctional)/Ins/60-80K P/M/PERM

Argyll Scott; Hong Kong; On-site; HKD 900,000 - 1,300,000; Full time

Job summary

Argyll Scott in Hong Kong is seeking a senior data/analytics leader to translate commercial, brand, and sales goals into concrete technical specifications for data warehouse, BI, and engineering teams. You will partner with Asia-wide leaders across Client, Marketing, Operations, and Finance to define KPI routines and deliver rapid insights for executive leadership.

The role requires 8-10+ years in marketing analytics, BI, data transformation, or client intelligence, with hands-on SQL, Python,

Qualifications

• 8-10+ years of technofunctional experience spanning marketing analytics, BI, data transformation, or client intelligence.

Responsibilities

• Translate commercial, brand, and sales goals into concrete technical specifications for data warehouse, BI, and engineering teams.
• Partner directly with Asia-wide regional leaders across Client, Marketing, Operations, and Finance to define KPI routines, manage expectations, and drive actionable insight routines.
• Execute ad-hoc data extractions, deep-dive root cause analyses, and rapid insight turnarounds to answer high-priority, unstructured business questions from executive leadership.
• Define marketing intelligence logic and partner with Data & Analytics teams to specify and build ETL flows, data lake/warehouse pipelines, and data connector architectures integrating APIs, CRM, and ad platforms.
• Shape and integrate AI-enabled, agentic capabilities to drive Next-Best-Action, Next-Best-Message, and Next-Best-Channel frameworks across full-funnel customer journeys.
• Navigate complex, highly regulated enterprise environments and rigid governance structures with resilience and patience to move data initiatives from concept through compliance to execution.

Skills

SQL

Python

ETL

Cloud platforms

CRM (Salesforce)

Tableau

Power BI

APIs

Web analytics

Education

Bachelor's degree in Computer Science/Data Science/Statistics/Mathematics/Economics

Tools

Tableau

Power BI

Salesforce

Adobe Analytics

AWS

Azure

Job description

Translate commercial, brand, and sales goals into concrete technical specifications for data warehouse, BI, and engineering teams.

Partner directly with Asia-wide regional leaders across Client, Marketing, Operations, and Finance to define KPI routines, manage expectations, and drive actionable insight routines.

Execute ad-hoc data extractions, deep-dive root cause analyses, and rapid insight turnarounds to answer high-priority, unstructured business questions from executive leadership.

Define marketing intelligence logic and partner with Data & Analytics teams to specify and build ETL flows, data lake/warehouse pipelines, and data connector architectures integrating APIs, CRM, and ad platforms.

Shape and integrate AI-enabled, agentic capabilities to drive Next-Best-Action, Next-Best-Message, and Next-Best-Channel frameworks across full-funnel customer journeys.

Navigate complex, highly regulated enterprise environments and rigid governance structures with resilience and patience to move data initiatives from concept through compliance to execution.

Location: Hong Kong

Experience Level: 8-10+ Years

Key Responsibilities

• Translate commercial, brand, and sales goals into concrete technical specifications for data warehouse, BI, and engineering teams.

• Partner directly with Asia-wide regional leaders across Client, Marketing, Operations, and Finance to define KPI routines, manage expectations, and drive actionable insight routines.

• Execute ad-hoc data extractions, deep-dive root cause analyses, and rapid insight turnarounds to answer high-priority, unstructured business questions from executive leadership.

• Define marketing intelligence logic and partner with Data & Analytics teams to specify and build ETL flows, data lake/warehouse pipelines, and data connector architectures integrating APIs, CRM, and ad platforms.

• Shape and integrate AI-enabled, agentic capabilities to drive Next-Best-Action, Next-Best-Message, and Next-Best-Channel frameworks across full-funnel customer journeys.

• Navigate complex, highly regulated enterprise environments and rigid governance structures with resilience and patience to move data initiatives from concept through compliance to execution.

Key Requirements & Qualifications

• 8-10+ years of technofunctional experience spanning marketing analytics, BI, data transformation, or client intelligence.

• Experience working inside rigid, highly governed enterprise environments, with a strong background in insurance, banking, or financial services preferred.

• Hands-on exposure to SQL, Python, ETL principles, and cloud data platform concepts (AWS/Azure).

• Proven capability working with messy, unstructured, and fragmented data sets.

• Solid understanding of CRM platforms (e.g., Salesforce), marketing intelligence connectors (e.g., Supermetrics, APIs), web/ad analytics (Adobe/Google), and visualization tools (Tableau, Power BI).

• Highly resilient, patient, and self-driven mindset.

• T-shaped skill set-deep enough in data engineering and analytics concepts to earn respect from tech teams, but articulate enough to influence business executives.

• Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Economics, or a related quantitative field.