Data Analyst (Business Intelligence) - ShopeeFood at Shopee - Kuala Lumpur
Role Summary
The Data Analyst (Business Intelligence) - ShopeeFood is responsible for analyzing large datasets to provide actionable insights that drive business decisions. This role involves collaboration with various business teams to address challenges and enhance operational efficiency.
Job Description
In this role, you will engage in querying and analyzing extensive datasets, as well as creating and maintaining data pipelines and dashboards tailored to business needs. You will work closely with business teams to translate their challenges into technical tasks and conduct statistical analyses to ensure data integrity and accuracy.
Key Responsibilities:
- Query and analyze large datasets to extract meaningful insights.
- Create and maintain data pipelines to support business operations.
- Develop and fix dashboards to visualize data effectively.
- Collaborate with business teams to understand their challenges.
- Translate business questions into technical tasks for analysis.
- Conduct statistical analyses to ensure data accuracy.
- Provide actionable insights to address business challenges.
Job Requirements
Bachelor’s degree in Analytics, Data Science, Computer Science, Engineering, Actuarial Science or related fields.
Advanced level of SQL proficiency.
Strong interpretation skills for large and intricate datasets.
Excellent analytical and problem-solving abilities.
Strong communication and collaboration skills.
Business acumen in finance, marketing, or operations.
Ability to work independently in a fast-paced environment.
Quick Info
Company
Shopee
Location
Kuala Lumpur
Salary
Undisclosed
Skills Required
8 skills
Click to submit your application
Required Skills
SQL
Data Analysis
Statistical Analysis
Problem Solving
Communication
Collaboration
Business Acumen
Python
Data Analyst (Business Intelligence) - ShopeeFood Salary at Shopee
Shopee has not disclosed the salary for this role. Data Analyst (Business Intelligence) - ShopeeFood positions in Kuala Lumpur typically pay RM1,000–RM6,000 per month, based on the 43 comparable vacancies currently listed on SuperJobs.
How to Apply for This Data Analyst (Business Intelligence) - ShopeeFood Role
- Click Apply Now and sign in, or create a free SuperJobs profile. It takes about two minutes and there is no agency fee.
- Upload your CV once and answer any screening questions Shopee asks. Your profile is reused for every application after this one.
- Submit, then track the application and any employer replies from your dashboard. Applications close 2026-11-10, so apply early.
Data Analyst (Business Intelligence) - ShopeeFood - Frequently Asked Questions
What is the salary for a Data Analyst (Business Intelligence) - ShopeeFood at Shopee in Kuala Lumpur?
Shopee has not disclosed the salary for this role. Data Analyst (Business Intelligence) - ShopeeFood positions in Kuala Lumpur typically pay RM1,000–RM6,000 per month, based on the 43 comparable vacancies currently listed on SuperJobs.
Where is this Data Analyst (Business Intelligence) - ShopeeFood job located?
This Data Analyst (Business Intelligence) - ShopeeFood position is based in Kuala Lumpur, Malaysia. This role is fully on-site.
What qualifications do I need for this Data Analyst (Business Intelligence) - ShopeeFood role?
Shopee is looking for Bachelor’s degree in Analytics, Data Science, Computer Science, Engineering, Actuarial Science or related fields.; Advanced level of SQL proficiency.; Strong interpretation skills for large and intricate datasets..
How do I apply for this Data Analyst (Business Intelligence) - ShopeeFood job at Shopee?
Apply directly on SuperJobs — create a free profile, upload your CV once and submit. There is no agency fee and no charge to applicants. Applications close 2026-11-10.
Application Tips
- Ensure your resume highlights relevant skills and experience
- Tailor your application to match the role requirements
- Double-check all information before submitting
- Submit your application as soon as possible to increase your chances
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