Data Analyst (Investment Solutions)
KKP (Kiatnakin Phatra Financial Group) →Bangkok, Thailand
Estimated range. Confirm compensation with the employer.
Bangkok, Thailand
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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Data Analyst role within the Data Analytics team of the Investment Solutions Department at Kiatnakin Phatra Securities, supporting wealth management with over 600 billion baht in client assets under advisory. The position collects and interprets statistical information, designs the data environment, and produces reports and presentations to help management make decisions, while acting as a data steward and coordinating with other departments on reporting and solution requirements.
The role requires a Bachelor's or Master's degree in Computer Science, Computer Engineering, Applied Statistics, or a related field, plus 3-5 years of experience as a data or business analyst. Candidates should have experience with large data sets and relational databases, familiarity with data visualization tools such as Power BI or Tableau, and working knowledge of programming languages such as SQL, Python, R, or Java.
Collect, organize and interpret statistical information
Identify, manage and design the data environment including data sources, security, and metadata
Scrutinize information using data analysis tools
Generate meaningful results to support management decision-making by identifying facts and trends
Prepare reports and presentations based on analysis and present to management
Bachelor's or Master's degree in Computer Science, Computer Engineering, Applied Statistics, or related field
3-5 years of work experience as a data analyst, business analyst, or related field
Demonstrated experience handling large data sets and relational databases
Knowledge of data visualization software such as Power BI or Tableau
Working knowledge of programming languages such as SQL, Python, R, or Java
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