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Business Intelligence Analyst (Fraud) - Shopee

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Onsite

Business Intelligence Analyst (Fraud) - Shopee

Shopee

Business Intelligence Analyst (Fraud) - Shopee

Skills

SQL QueriesE-commerce WebsitesPythonData Analysis

2 months ago

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Important information


Contract type:

Permanent

Location:

Ho Chi Minh City, Vietnam

Work mode:

Onsite

Published on:

12 August 2026

What they need


  • Support the development and maintenance of business metrics, dashboards, and reports to help stakeholders monitor business performance and make data-driven decisions;
  • Assist in analyzing data to identify trends, patterns, and opportunities for improving business and operational performance across functions such as Fraud, Risk, and Payments;
  • Work closely with cross-functional teams to understand business needs, gather reporting requirements, and provide data-driven insights under the guidance of senior team members;
  • Prepare regular business performance reports and presentations, helping stakeholders understand key trends and performance metrics;
  • Ensure data accuracy by validating reports, troubleshooting data issues, and supporting continuous improvements to reporting processes;
  • Learn and apply analytical tools and techniques to support business decision-making and contribute to ongoing projects.

Requirements

  • Fresh graduates or candidates with less than one year of experience in Business Intelligence or Data Analytics roles with proven business impact;

  • Strong analytical thinking and ability to learn quickly with a can-do attitude;

  • Excellent written and verbal communication skills in English and Vietnamese;

  • Experience working with cross-functional teams to gather requirements and define the right metrics to describe the state of the business - both on a macro-level and a micro-level;

  • Hard skills for Data Analytics:

  • Strong experience in SQL;

  • Programming language: Python.

  • Nice-to-have:

  • Data wrangling and analysis with Python;

  • Domain knowledge in Payment, E-wallet, Banking, or Fraud Detection;

  • Domain knowledge in E-commerce, or being a frequent e-commerce buyer;

  • Experience with User Experience analysis.

Please note that only shortlisted candidates will be contacted for the next steps within three weeks.

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