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Data Analyst






About Us

Do you want to be part of Thailand banking transformation? Data is the core of the new financial services era, and we are open for the opportunity to be part to drive this change at the core. 

SCB DATAx is a new venture of the Siam Commercial Bank (SCB) holdings, a leading financial services and digital services holdings in Thailand and ASEAN. 

As part of the transformation of SCB into a group of product and technology companies, under the SCBx brand, SCB DATAx is the technology company to centralize data and provides AI and data science services and products to the group.  

With a leading-edge cloud native data & AI platform, our vision is to support the group to providing everyone in our region with the opportunity to prosper. 

We work on forward-thinking challenges of centralizing, analyzing and sharing information. We collaborate with companies and experts in many different domains, embrace diversity and all that while having a good laugh and joy in work. 

Discover job openings on our career page. To apply, email with the role's title as the subject, attach your CV, and specify your contact information. We're eager to learn more about you.

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Preferred Qualifications


  • Bachelor's degree in a quantitative field (business, computer science, math, engineering, science, economics, or finance) is preferred 

  • Strong hands-on experience with SQL for data querying and manipulation 

  • Proficiency in data analysis tools like Excel, Python (or R) for data wrangling, cleaning, and analysis. 

  • Profound experience as an Analyst with a proven track record in analytics, data science, insights generation, strategy development, and business intelligence (BI) 

  • Excellent communication skills (written, verbal, presentation) and interpersonal skills to effectively collaborate with stakeholders at all levels. 

  • Proven ability to present data insights to senior management and executives 

  • Data-driven decision making with a focus on performance measurement 


  • Understand requirements and business use cases from internal and external customers in order to design a data product or analytics solution that meet business objectives. 

  • From there, select appropriate statistics tools, measures, and methodology. This could also include identifying new or secondary data source that could enhance the analysis. 

  • Transform business requirements and designs into technical specification and other required documentation (such as BRS) for BI Engineer, Data Scientist, and other technical teams in order to develop and implement a solution. This task involves performing Exploratory Data Analysis (EDA), list required data sources, identifying transformation logic, applying appropriate data cleansing and data standardization rules according to the project architecture or data model design. 

  • Process data with standard tools such as SQL and Python and manipulate data with analysis and visualize tools such as Power BI to explore data, find trends, make inferences or prediction, or find any insights. 

  • Assist other developers to validate correctness of transformed data to ensure output data is of high quality. 

  • Assist quality assurance (QA) team with UAT testing (if required) 

  • Create or update metadata (Business, Technical, Dataset) in accordance with standard specified by Data Governance and project team. This includes writing attribute business name and business definition.  

  • Identify Critical Data Element (CDE) for data quality monitoring purposes. Create and review data quality rules with Data Quality team.  

  • Derive business implication and/or actionable recommendations from the findings. 

  • Communicate ideas and proposal, findings, and recommendations with appropriate visualization such as charts and diagrams on standard presentation and documentation tools such as Microsoft PowerPoint and Words. 

  • Take ownership of one’s project, including planning and managing scopes and timelines. 

About Team & Role

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