The brand Jim Thompson was founded by James H.W. Thompson in 1951 while undertaking the task of reviving the Thai silk industry. The "King of Silk" was a man of multiple dimensions: a visionary entrepreneur, a great marketer, an art collector, an aesthete, and a man of action and conviction. Above all, he was driven by a great love for Thai people and their rich culture. Now, we are seeking new associates to be a part of the iconic global lifestyle brand from Thailand.
Data Analyst
Data Analyst
Work Location
Jim Thompson Head Office
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As a Data Analyst, you will be responsible for collecting, processing, and analyzing data to provide valuable insights that inform strategic decision-making within the organization. You will work closely with cross-functional teams to identify trends, patterns, and correlations within datasets, and present your findings in a clear and actionable manner. 

Additionally, you will play a key role in identifying opportunities for process improvement and efficiency gains through data-driven initiatives.

Key Responsibilities:

Data Collection and Preparation

  • Gather data from various sources including databases, APIs, spreadsheets, and other data repositories.
  • Cleanse and preprocess data to ensure accuracy, completeness, and consistency.

Data Analysis and Interpretation

  • Apply statistical and analytical techniques to explore and interpret large datasets.
  • Identify trends, patterns, and correlations to extract meaningful insights.

Report Generation and Visualization

  • Develop reports, dashboards, and visualizations to communicate findings effectively.
  • Utilize data visualization tools such as Tableau, Power BI, or matplotlib to present insights in a visually compelling manner.

Collaboration and Communication:

  • Work closely with cross-functional teams, including marketing, IT, and design, to support their initiatives and integrate their content and tools into the website.
  • Communicate effectively with stakeholders to gather requirements, provide updates, and address any concerns related to the website.


  • Minimum 3-5 years of experience in related.
  • Manufacturing industry, retail and trading industry experience an asset.
  • Proficiency in programming languages such as Python, R, SQL, or similar languages.
  • Experience with data visualization tools such as Tableau, Power Bi.
  • Programming language would be highly benefit.
  • Proven experience in data analysis, data mining, and statistical modeling.

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