Data Steward in Phnom Penh

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Data Steward

(Data Analyst)

WING BANK (CAMBODIA ) PLC

Boeng Keng Kang | Phnom Penh

1 Post

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Data Steward

WING BANK (CAMBODIA ) PLC, Boeng Keng Kang | Phnom Penh

Apply Here

Data Steward

WING BANK (CAMBODIA ) PLC

Apply Here

Data Steward

(Data Analyst)

WING BANK (CAMBODIA ) PLC

Cambodia - Phnom Penh

Boeng Keng Kang | Phnom Penh

1 Post

16 Jan 2026

Apply Here

Experience level

Experienced Non-Manager

Job Function

IT Hardware, Software

Job Industry

Banking/ Insurance/ Microfinance

Min Education Level

Bachelor Degree

Job Type

Full Time

Job Description

A Good Opportunity for ..

Responsible for maintaining metadata repository from all data sources.
Responsible for crosscheck data lineage, classification, and profiling.
Responsible implement and maintenance technical & business glossary
Responsible for defining standards and best practices for data analysis, modeling, and queries.
Gathering, document, and reviewing requirements with various business and data partners across the organization
Responsible for governing data access for all group’s data assets.
Responsible for solving data related issues and communicating resolutions with other solution domains.
Responsible for the development and maintenance of an enterprise data dictionary that is aligned to data assets

Open To

Male/Female

Job Requirements

Graduated bachelor degree of Information Technology, preferably in the field of Computer Science.
2+ years of experience in related field DBA, DATA Engineer or relevant in data management (master data, metadata, data quality and data modeling)
Experience with Data Governance tools such as Apache Atlas, Talend Catalog, informatica, Dataddo etc.
Experience with implementing data warehouse and data mart
Thorough knowledge on how data assets/products are developed and used within business processes and data science/analytics use cases, by different consumers
Solid understanding about DAMA DMBOK2 Framwork & CRISP-DM process
Prior experience in Banking industry, with knowledge and experience with relevant data domains and datasets
Possesses knowledge in data modeling and management techniques and strategies
Solid understanding of key RDBMS platforms like ORACLE, SQL SERVER, POSTGRESQL
Possesses knowledge of Big Data stack (HADOOP, HBASE, HIVE, NIFI, SQOOP)