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Data Analyst – Strategic Analysis (Middle level)

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Onsite

Data Analyst – Strategic Analysis (Middle level)

ÆON Thana Sinsap (Thailand) Public Co., Ltd.

Data Analyst – Strategic Analysis (Middle level)

Skills

SQL QueriesTableauPythonData AnalysisMachine LearningPower BI

2 months ago

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Important information


Contract type:

Permanent

Location:

Bangkok, Thailand

Work mode:

Onsite

Published on:

26 August 2026

What they need


About Us

ÆON Thana Sinsap (Thailand) PLC (AEONTS) is a Financial Services company located in Bangkok City, Thailand Our company provides a range of services including loans, credit cards, Insurance Broker and installment programs to our customers. We are committed to providing exceptional customer experience and value to our customers

WE’RE HIRING! WE’RE LOOKING FOR A "Data Analyst – Strategic Analysis" TO JOIN US ON THIS JOURNEY OF GROWTH

Key Responsibilities:

  • Analyze and interpret customer and business data to generate actionable insights and support business growth.

  • Primarily support Marketing Analytics, while providing analytical support across other business functions and business units.

  • Work with data across multiple business areas, including Marketing, Media, Card Acquisition, Unsecured Loan, Secured Loan, Insurance, Judgment, and Collection.

  • Extract, transform, and prepare data using SQL / SAS.

  • Develop dashboards and data visualizations using Power BI and Tableau.

  • Conduct customer segmentation, retention, acquisition, and behavioral analysis.

  • Utilize Python for data analysis, data processing, and automation.

  • Apply Machine Learning techniques to identify customer trends, patterns, and behaviors.

  • Identify business opportunities and propose data-driven initiatives to improve business performance and revenue.

  • Collaborate with cross-functional stakeholders to translate business requirements into data-driven solutions.

Requirements:

  • 3–5 years of experience in Data Analytics, Business Analytics, BI, or a related field.

  • Strong proficiency in SQL / SAS.

  • Experience with Python for data analysis, data processing, and automation.

  • Familiarity with Machine Learning concepts and hands-on experience applying ML techniques to business problems is a plus.

  • Experience with Power BI and/or Tableau.

  • Strong analytical, problem-solving, and communication skills.

  • Strong business acumen with the ability to translate data insights into actionable recommendations.

  • Comfortable working with cross-functional teams and multiple stakeholders.

  • Good English communication skills, both written and spoken.

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