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Business Intelligence Analyst - Business Intelligence, Cross Border (Tech BI) (Entry-Level) Job Opening In Singapore, Singapore – Now Hiring Shopee

Business Intelligence Analyst Business Intelligence, Cross Border (Tech BI) (Entry Level)

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Job description

Overview
Join to apply for the
Business Intelligence Analyst - Business Intelligence, Cross Border (Tech BI) (Entry-Level)
role at
Shopee
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.


The Cross Border Business team at Shopee leverages data analytics to drive growth for international sellers and enhance the shopping experience for our users.

We analyse seller performance, customer behaviour, and category trends to uncover insights that shape strategy and decision-making.


Job Description
Conduct a thorough analysis to identify trends, patterns, and opportunities for the 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-sized tools or simulation models in helping business to achieve quick and important goals
Requirements
Bachelor’s Degree in data analytics, engineering, statistics, mathematics or any other quantitative discipline
Internship experience in business intelligence, data analytics, engineering or any other related fields
Proven technical skills, Python, SQL, VBA, Excel, Google Sheets, Tableau etc
Experience in data analysis and process automation
Able to pay attention to detail and rely on data
Able to story-tell and transform numbers into key insights that drive business decisions
Able to communicate clearly and succinctly to stakeholders
Able to identify root causes and solve challenges
Possess a Growth and Optimisation mindset
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Industries
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