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Data Analyst / Data Scientist


What you will do:

  • Provide data-driven insights to improve decision making and identify business opportunities

  • Build and enhance various creditability scoring models

  • Evaluate performance for product experimentation

  • Help improve data collection for website and mobile apps to better understand user behaviors

  • Present findings to different types of audiences

  • Facilitate some simple data queries/extraction that help business operations

  • Research for better improvements in data analytics area


What to bring:

  • Some hands-on experience in crunching data to uncover insights by writing SQL,

Python, R scripts, and being familiar with spreadsheets

  • A passion to gain a deeper yet practical understanding of statistics

and econometrics techniques

  • Fair understanding of what drives the success of predictive model implementation

for subject creditability purpose

  • Some technical knowledge in data collection from websites or mobile apps

  • Ability to translate business problems into analytics questions, bounce ideas,

and communicate findings

  • Intermediate fluency in English

Some hands-on experience in the following areas would be great, but not necessary:

  • Machine Learning engineering

  • Operations Research (mathematical optimisation)

  • Business Intelligence tools for data democratisation

  • Data visualisation development in web browser

  • NoSQL databases and Big Data platforms

  • Data Engineering and Software Engineering


  • ประกันสุขภาพ

  • ประกันสังคม

  • กองทุนสำรองเลี้ยงชีพ

  • เยี่ยมไข้ เยี่ยมคลอด

  • ของขวัญวันเกิดพนักงาน

  • ตรวจสุขภาพประจำปี

  • เงินช่วยเหลืองานมงคลสมรส

  • เงินช่วยเหลืองานศพ

  • การฝึกอบรมและพัฒนาพนักงาน

  • ค่าตอบแทนพิเศษ

  • โบนัสตามผลงาน / ผลประกอบการ

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