Business Intelligence

10 hours ago

Bangkok, Bangkok, Thailand Shopee (Thailand) Co., Ltd. Full time

Monee is a part of Sea Group, a leading global consumer internet company. Monee's mission is to better the lives of individuals and businesses in our region with financial services through technology. Monee's offerings include mobile wallet services, payment processing, credit offerings, and related digital financial services and products. These are available in seven markets across Southeast Asia and Taiwan under various brands, including ShopeePay, SPayLater, and other brands.

  • Develop comprehensive SQL queries to support ad hoc reporting, dashboard creation, and data analysis for various business units
  • Gather and refine data requirements from business users and management to support ongoing and project-based initiatives
  • Design and maintain ETL pipelines to automate reports and dashboards on the in-house data platform
  • Collaborate with local and regional teams to align on data sources, business definitions, and functional logic updates
  • Perform quantitative analysis using statistical techniques to uncover insights to drive business decisions and strategy

  • Provide data-driven support for consumer campaign and other cross-functional business activities

  • Bachelor's or Master's degree, preferably in Analytics, Statistics, Computer Science, or Engineering

  • 1 – 2 years of experience in an Analytics, Business Intelligence, or Data Engineering role working with large-scale, complex datasets
  • Proficient in SQL for data manipulation and transformation; experienced in data visualization
  • Proficient in Python with working knowledge of machine learning and practical project experience
  • Able to deliver actionable insights, communicate clearly with both technical and non-technical audiences, and work independently or in teams
  • Strong analytical thinking, attention to detail, and a creative approach to solving complex problems

Job Description:

Requirements:

  • Develop comprehensive SQL queries to support ad hoc reporting, dashboard creation, and data analysis for various business units
  • Gather and refine data requirements from business users and management to support ongoing and project-based initiatives
  • Design and maintain ETL pipelines to automate reports and dashboards on the in-house data platform
  • Collaborate with local and regional teams to align on data sources, business definitions, and functional logic updates
  • Perform quantitative analysis using statistical techniques to uncover insights to drive business decisions and strategy

  • Provide data-driven support for consumer campaign and other cross-functional business activities

  • Bachelor's or Master's degree, preferably in Analytics, Statistics, Computer Science, or Engineering

  • 1 – 2 years of experience in an Analytics, Business Intelligence, or Data Engineering role working with large-scale, complex datasets
  • Proficient in SQL for data manipulation and transformation; experienced in data visualization
  • Proficient in Python with working knowledge of machine learning and practical project experience
  • Able to deliver actionable insights, communicate clearly with both technical and non-technical audiences, and work independently or in teams
  • Strong analytical thinking, attention to detail, and a creative approach to solving complex problems

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