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Business Intelligence Analyst (Fraud) - Shopee
Job description
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.
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.
Description copied from Shopee's careers page. Read the full posting before you apply.
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