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Business Intelligence Analyst - Business Intelligence, Cross Border

Salary undisclosed

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About The Team

The Business Intelligence and Data Analytics team plays a critical role in conducting close-loop data-driven business iterations. As business intelligence specialists and data analysts, our scope of work is not limited to just performance monitoring and reporting, but also in proactively finding actionable insights to help drive high-impact business changes. Our end-to-end data solution reduces the gap between the business teams and technical teams, and achieves real ‘intelligence’ in the iteration cycle. Browse our Business Intelligence and Data Analytics team openings to see how you can make an impact with us.

Job Description

  • Conduct thorough analysis to identify trends, patterns, and opportunities for Shopee cross border business organisation
  • Collaborate with stakeholder teams to define key performance indicators (KPIs) and develop metrics that align with business objectives
  • Lead cross-functional teams' data analytics projects
  • Create, monitor and optimise reporting flow using BI tools from back-end to front-end
  • Maintain data integrity and streamline data processes
  • Gather business requirements to develop small to medium size tools or simulation models in helping business to achieve quick and important goals

Requirements

  • Bachelor’s/Master Degree, preferably in data analytics, engineering, statistics, mathematics or any other quantitative discipline
  • 2-5 years of experience in business intelligence, data analytics, engineering or any other related fields
  • Proven technical skills: SQL, Spark, Python etc.
  • Experience in data analysis and process automation preferred
  • Able to pay attention to detail and rely on data
  • Able to story tell and transform numbers into key insights that drives business decisions
  • Able to communicate in a clear and succinct manner to stakeholders
  • Able to identify root causes and solve challenges
  • Growth and Optimisation mindsets
About The Team

The Business Intelligence and Data Analytics team plays a critical role in conducting close-loop data-driven business iterations. As business intelligence specialists and data analysts, our scope of work is not limited to just performance monitoring and reporting, but also in proactively finding actionable insights to help drive high-impact business changes. Our end-to-end data solution reduces the gap between the business teams and technical teams, and achieves real ‘intelligence’ in the iteration cycle. Browse our Business Intelligence and Data Analytics team openings to see how you can make an impact with us.

Job Description

  • Conduct thorough analysis to identify trends, patterns, and opportunities for Shopee cross border business organisation
  • Collaborate with stakeholder teams to define key performance indicators (KPIs) and develop metrics that align with business objectives
  • Lead cross-functional teams' data analytics projects
  • Create, monitor and optimise reporting flow using BI tools from back-end to front-end
  • Maintain data integrity and streamline data processes
  • Gather business requirements to develop small to medium size tools or simulation models in helping business to achieve quick and important goals

Requirements

  • Bachelor’s/Master Degree, preferably in data analytics, engineering, statistics, mathematics or any other quantitative discipline
  • 2-5 years of experience in business intelligence, data analytics, engineering or any other related fields
  • Proven technical skills: SQL, Spark, Python etc.
  • Experience in data analysis and process automation preferred
  • Able to pay attention to detail and rely on data
  • Able to story tell and transform numbers into key insights that drives business decisions
  • Able to communicate in a clear and succinct manner to stakeholders
  • Able to identify root causes and solve challenges
  • Growth and Optimisation mindsets
About Shopee
Size More than 5000
Industry Broadline Retail
Location Singapore
Founded 5 February 2015
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