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

Argyll Scott Singapore; Hong Kong; On-site; HKD 200,000 - 280,000; Full time

Job summary

Argyll Scott Asia in Hong Kong is seeking a senior data & analytics lead to translate business goals into concrete data specifications for DW/BI teams. You will partner with Asia-wide leaders to define KPI routines and deliver rapid insights to executive leadership.

You will design ETL flows, data lake/warehouse pipelines, and integrate APIs/CRM and ad platforms, shaping AI-enabled Next-Best-Action capabilities across full-funnel journeys.

Qualifications

• 8–10+ years technofunctional experience in marketing analytics, BI, data transformation or client intelligence.
• Experience in highly governed enterprise environments; finance/insurance background preferred.
• Hands-on SQL, Python, ETL concepts, and cloud data platforms (AWS/Azure).
• Proven ability to handle messy, unstructured data sets.
• Strong CRM and marketing intelligence connector knowledge (Salesforce, APIs, Supermetrics).
• Excellent visualization skills with Tableau/Power BI and stakeholder influence.
• Resilient, patient, and self-driven; able to partner with executives.
• Bachelor’s degree in a quantitative field.

Responsibilities

• Translate goals into technical specs for data warehouse, BI, and engineering teams.
• Partner with Asia-wide leaders to define KPI routines and drive insights.
• Execute ad-hoc extractions and rapid analyses for executive questions.
• Define marketing intelligence logic and build ETL/data pipelines across platforms.
• Shape AI-enabled capabilities for Next-Best-Action across customer journeys.
• Navigate regulated environments from concept to compliant execution.

Skills

Marketing analytics

Data transformation

CRM integration

Tableau/Power BI

Education

Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Economics, or related field

Tools

SQL

Python

ETL principles

AWS

Azure

Salesforce

Supermetrics

APIs

Tableau

Power BI

Job description

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.

Argyll Scott Asia is acting as an Employment Agency in relation to this vacancy.