Senior Data Analyst - Business Intelligence, Marketplace

Shopee • Marketplaces • Commerce • Bachelor's Degree • Python • SQL • A/B Testing • 7 hours ago
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Salary
≈ $16k – $36k per year (Estimated)
Location
In office (Kuala Lumpur)
Seniority
Senior · 4+ years exp

Confirmed on the employer's own hiring board on Sep 24, 2026. First seen by Alion on Sep 24, 2026.

Overview
Company
Impact
Profile match

Shopee

Shopee is a multinational technology company and e-commerce marketplace platform operating as a subsidiary of Sea Limited. The company provides a hybrid B2C and C2C digital marketplace offering retail products, integrated digital payments and financial services via ShopeePay/SeaMoney, and end-to-end logistics and fulfillment solutions through SPX Express. Headquartered in Singapore, the platform serves millions of consumers and merchant partners across Southeast Asia, Taiwan, and Latin America.
shopee.com • HQ: Singapore • Commerce • Est. 2015

What You’ll Do:

  • Work with Data: Responsible for querying, and analyzing large datasets, and creation or fixing of data pipelines and dashboards to meet business needs.
  • Collaborate with Business Teams: Partner with business teams to understand challenges, contribute to analytics frameworks, and help translate business questions into technical tasks.
  • Statistical Analysis: Conduct in-depth analysis using methods like A/B testing, regression, penetration, benchmarking, projection, assist in evaluating model performance, and interpret data to provide actionable insights.
  • Data Integrity: Ensure data integrity and accuracy by implementing best practices in data management and governance.
  • Project / Study: Lead end-to-end in-depth analyses or projects independently, provide actionable next steps to address business challenges.
  • Bachelor’s degree in Analytics, Data Science, Computer Science, Engineering, Actuarial Science or related fields.
  • More than 4 years of experience in related roles
  • Advanced level of SQL, strong knowledge in data granularity and data principles
  • Strong interpretation of large and intricate dataset (millions to billions rows).
  • Strong analytical and problem-solving skills.
  • Strong communication & collaboration skills.
  • Strong business acumen in finance, marketing, business development, operations or related.
  • Able to work in a fast-paced and dynamic environment independently.
  • Able to lead end-to-end projects or in-depth analyses independently.

Bonus Points If You Have:

  • Knowledge in R or Python
  • Experience in the e-commerce industry
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