Data Analytics Manager
UOB Thailand →Bangkok City Area
Estimated range. Confirm compensation with the employer.
Bangkok City Area
Estimated range. Confirm compensation with the employer.
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Listing record updated: October 16, 2026. We archive records after 60 days without an update. This date does not confirm that the employer is still hiring.
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UOB (Thai) Public Company Limited is hiring a Data Analytics Manager for its Bangkok City Area operations. The role involves collaborating with stakeholders to translate business needs into technical specifications, designing and developing scripts on HUE Cloudera, and conducting UAT and production deployment. Responsibilities include collecting and analyzing large datasets using Power BI, Hue, Impala, and Hive, building dashboards, designing data models and algorithms, performing data integrity audits, and maintaining SQL queries and Power BI dashboards to support management decision-making.
The position requires a Bachelor's or higher degree in Data Science, Computer Science, Statistics, or a related field, plus at least 5 years of banking sector experience. Candidates must be proficient in SQL, Python, R, Excel, and Power BI, with strong analytical, communication, and collaboration skills, and fluency in written and spoken English.
Collaborate with stakeholders to understand business needs and objectives, and translate them into clear technical specifications
Design and develop scripts on the HUE Cloudera, conduct UAT, and execute deployment into production
Collect, analyze, and interpret large datasets using Power BI, Hue, Impala, and Hive; develop and maintain dashboards and visualizations
Design and implement data models and algorithms to identify trends, patterns, and insights; optimize data processes and workflows
Perform regular audits and validation checks to maintain data integrity and accuracy; provide ad-hoc data analysis and reporting
Bachelor's or higher degree in Data Science, Computer Science, Statistics, or a related field
Proven experience as a Data Analyst or in a similar role
Minimum of 5 years of experience in the banking sector
Proficiency in SQL, Python, R, Excel, and data visualization tools like Power BI
Strong knowledge of banking systems; proficient in spoken and written English
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