Senior Data Analytics & Systems Lead

Bank of Communications Hong Kong Branch; Hong Kong; Vor Ort; HKD 600.000 - 900.000; Vollzeit

Zusammenfassung

Bank of Communications Hong Kong Branch seeks an experienced data professional to coordinate and manage data-related business requirements. You will develop data platforms and analytics applications, and drive the integration, visualization, and high-quality datasets to support AI and scenario-based applications.

The role requires a strong foundation in data warehousing concepts, SQL proficiency, and familiarity with BI tools.

Qualifikationen

• Degree holder in Statistics, Mathematics, Computer Science, Information Management, Data Science or equivalent qualifications at HKQF level 5.
• Minimum 5 years' solid experience in banking data products, data analytics, BI, data governance or fintech-related roles.
• Strong knowledge on SQL, with proficiency in at least one analytical or data processing tool such as Python, R or SAS.
• Familiar with mainstream data visualization tools, BI tools and database such as OceanBase, DB2 etc.
• Solid understanding of data warehouse, data mart, data lake, data platform, ETL, data quality management, metadata management etc.

Aufgaben

• Coordinate and manage data-related business requirements.
• Manage and develop data platforms and data analytics applications.
• Drive the integration and visualization of business data.
• Drive the development of business data marts and high-quality datasets to support AI and other scenario-based applications.

Kenntnisse

SQL

Python

R

SAS

Ausbildung

Degree in Statistics/Mathematics/Computer Science/Data Science (HKQF level 5)

Tools

OceanBase

DB2

Jobbeschreibung

Bank of Communications Hong Kong Branch seeks an experienced data professional to coordinate and manage data-related business requirements. You will develop data platforms and analytics applications, and drive the integration, visualization, and high-quality datasets to support AI and scenario-based applications.

The role requires a strong foundation in data warehousing concepts, SQL proficiency, and familiarity with BI tools.