Senior Sales Data Analytics/FS/12 months/40-55K HKD per month

Data Analytics & Insights Manager (Modern BI & Data Engineering)

The Opportunity

Our Top Financial Services Client with an established regional footprint, is looking for a Data Analytics & Insights Manager to bring expertise in Business Intelligence (BI), performance reporting, and data engineering solutions. This position sits within a high-exposure analytics function, transforming complex, cross-channel data sets into executive-ready narratives that directly drive commercial strategy and operational efficiency.

Key Responsibilities

1. Management Information (MI), Reporting & Performance Insights

• Deliver end-to-end MI and performance reporting across sales tracking, service productivity, funnel/conversion, customer activity, and channel performance.
• Translate business questions into structured analytical approaches, uncovering performance drivers and offering actionable recommendations.
• Construct executive-ready narratives and insight packs that clearly highlight trends, root causes, operational risks, and market opportunities.

2. Modern Dashboard Development & Visualization

• Build and maintain interactive, high-UX dashboards tailored to diverse stakeholder groups, including senior leadership, product teams, and operations.
• Apply modern visualization practices, ensuring a clear KPI hierarchy, intuitive drill-through design, and robust self-service filtering capabilities.
• Optimize dashboard performance through advanced data model design, efficient calculation layers, and incremental refresh strategies.

3. Data Engineering & Database Programming

• Design and maintain robust datasets and localized data marts, including reusable curated layers for scorecards and business dashboards.
• Write efficient, production-grade SQL(utilizing CTEs, window functions, and query optimization techniques) while embedding automated data quality checks.
• Implement modern data transformation approaches, utilizing modular ELT patterns, version-controlled transformations, and data validation routines.
• Support the integration of disparate data sources (including CRM, product, and channel telemetry) while ensuring reliable refresh schedules.

4. Advanced Analytics & Automation

• Deploy Python and SQL to automate manual reporting workflows, conduct statistical analysis, perform customer segmentation, and execute forecasting.
• Develop repeatable analytical assets, such as parameterized reports, reusable code libraries, and standard enterprise KPI definitions.
• Advocate for technical best practices across the team, including detailed documentation, structured peer reviews, and reproducible code.

5. Stakeholder Management & Delivery

• Partner with cross-functional business, product, and technology groups to manage demand pipelines, gather requirements, and deliver against project timelines.
• Communicate sophisticated technical findings in clear, non-technical business language to influence executive decision-making.
• Ensure all data assets strictly comply with internal governance expectations, including data privacy laws, access controls, and auditability standards.

Requirements & Technical Skillset

• Education: University degree in Quantitative Analysis, Statistics, Computer Science, or a related quantitative discipline.
• Experience: Minimum of 5 years of experience across data analysis, database management, software/system engineering, and modern reporting development.
• Domain Background: Prior experience within commercial, corporate, or digital banking is highly preferred, coupled with an understanding of sales/service performance frameworks.
• Core Technical Stack: Strong hands-on capability in SQL and Python(Excel VBA capability is also recognized).
• Data Architecture: Solid understanding of data modeling concepts (star schemas, facts/dimensions, KPI calculation logic, and data quality controls).
• BI Tooling: Experience building production-grade enterprise reporting assets. Hands-on experience with Qlik Sense, QlikView, or Tableau is considered a distinct advantage.
• Project Delivery: Strong project management skills, including structured planning, backlog prioritization, and risk/issue mitigation.
• Soft Skills: Exceptional analytical thinking, structural communication capabilities, and a strong ownership mindset.
• Language: Full professional proficiency in both English and Chinese.

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