ABOUT THE TEAM

We are the centralized data powerhouse for one of Vietnam’s premier multi-industry conglomerates, spanning large-scale footprints in Hospitality, Entertainment, Real Estate, and Aviation.

Our mission is to build a next-generation, high-performance, fully localized Customer Data Platform (CDP) natively within a modern cloud ecosystem (Azure/Microsoft Fabric).

We are seeking a high-performing Mid-Level Data Analyst to join our core platform team. This role is built with an explicit, structured growth pathway: you will start by mastering our expansive data ecosystem and delivering critical business intelligence, while being systematically trained and mentored to pivot into AI Engineering or Data Scientist roles as you integrate with our advanced machine learning initiatives.

KEY RESPONSIBILITIES

Data Analytics & Business Intelligence

- Analyze large-scale, first-party digital event telemetry alongside enterprise financial records ingested from core ERP frameworks.

- Support advanced analytical frameworks, including multi-variable location intelligence and asset-value attribution modeling to measure business unit synergy.

- Extract, synthesize, and present cross-functional business insights that coordinate strategies across autonomous business units.

Data Modeling & Platform Development

- Build, optimize, and maintain enterprise-grade semantic models and interactive dashboards within our centralized data lakehouse system.

- Write highly optimized SQL and Python scripts (including PySpark) within collaborative notebooks to manipulate massive, structured, and unstructured datasets.

- Collaborate with Data Engineering to enforce data quality, lineage, and automated observability rules across data pipelines.

Governance & Compliance

- Operate strictly within enterprise data governance frameworks to ensure absolute compliance with local data privacy regulations (PDPL).

QUALIFICATIONS & REQUIREMENTS

- 3–5 years of professional experience in Data Analytics, Business Intelligence, or Analytics Engineering.

- Advanced proficiency in SQL and Python (Pandas, PySpark) for complex data manipulation and engineering-adjacent workflows.

- Hands-on experience with modern cloud data architectures, with a strong preference for the Azure/Fabric ecosystem or similar lakehouse environments.

- Familiarity with analyzing behavioral analytics, event tracking, and complex transactional graphs.

- Strong business acumen with the ability to translate raw data metrics into clear, high-impact recommendations for executive leadership.

- A solid understanding of data governance, access control systems, and privacy preservation principles.

THE AI ENGINEER/ DATA SCIENTIST PIVOT PATHWAY

This position serves as an intentional incubator for advanced technical tracks. As you master the core data pipelines, your responsibilities will expand directly into our machine learning and AI stack:

- Real-Time Decision Systems

Gain direct exposure to the backend logic of our real-time customer journey orchestration engine, learning how automated propensity scores are calculated and arbitrated.

- Machine Learning Integration

Collaborate directly with our advanced AI squad, gaining hands-on experience deploying two-tower retrieval models, contextual bandits, and vector embeddings.

- Algorithmic Identity Resolution

Transition from standard querying to training and refining machine learning-based probabilistic entity resolution models.

- Natural Language Processing

Help evaluate and fine-tune the retrieval, prompt evaluation, and recommendation accuracy of our localized Conversational AI and LLM layers.