Data Analyst
Core
Business-facing technical Data Analyst translating GWAM Asia needs into clear data requirements and supporting trusted, reusable data products.
Role type
Business-facing technical Data Analyst
Builds
Reporting, analytics, decision-making support, and selected AI use cases for clients, distribution, products, funds, accounts, AUM, transactions, and profitability.
Domain
Financial services / Asset management
Deliverable
dashboards & analysis
Required skills
SQL, Excel, requirements gathering, data mapping, data profiling, data reconciliation, data quality, testing
Preferred skills
Python, R, Spark, Databricks, Azure Data Lake Storage, Azure Data Factory, data governance, metadata, lineage, Agile delivery
Technologies
SQL, Excel, Power BI, Python, R, Spark, Databricks, Azure Data Lake Storage, Azure Data Factory
Responsibilities
Translate business needs into testable data requirements; lead discovery sessions and prepare business requirements specifications; use SQL to profile, investigate, and reconcile data; partner with data engineers to deliver scalable solutions on the Enterprise Data Lake; support data mapping, cleansing, transformation, integration, quality controls, testing, and production readiness; develop dashboards and analytical outputs; align data definitions, ownership, lineage, and quality expectations.
Seniority
Mid-level (3–5 years experience)