Location: Hong Kong
Experience Level: 8-10+ Years
Key Responsibilities
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Translate commercial, brand, and sales goals into concrete technical specifications for data warehouse, BI, and engineering teams.
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Partner directly with Asia-wide regional leaders across Client, Marketing, Operations, and Finance to define KPI routines, manage expectations, and drive actionable insight routines.
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Execute ad-hoc data extractions, deep-dive root cause analyses, and rapid insight turnarounds to answer high-priority, unstructured business questions from executive leadership.
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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.
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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.
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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
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8-10+ years of technofunctional experience spanning marketing analytics, BI, data transformation, or client intelligence.
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Experience working inside rigid, highly governed enterprise environments, with a strong background in insurance, banking, or financial services preferred.
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Hands-on exposure to SQL, Python, ETL principles, and cloud data platform concepts (AWS/Azure).
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Proven capability working with messy, unstructured, and fragmented data sets.
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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).
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Highly resilient, patient, and self-driven mindset.
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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.
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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.