Data Analyst - Brand Analytics, Regional Brand Partnership

Shopee • Commerce • Python • SQL • 10 hours ago
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Salary
≈ $64k – $135k per year (Estimated)
Location
In office (Singapore)

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
  • Collaborate with stakeholders to understand business needs, identify pain points, and uncover opportunities for process and performance improvements.
  • Define, track, and report on Key Performance Indicators (KPIs) in alignment with broader business objectives.
  • Utilise tools like SQL and Python to collect, process, and integrate data from multiple sources, building reliable dashboards and reports for strategic decision-making.
  • Conduct deep-dive brand performance analyses to identify trends, solve business challenges, uncover growth opportunities, and provide actionable recommendations for regional brands.
  • Apply AI and automation techniques to optimize the analytics pipeline, reduce manual work, and improve overall team efficiency.
  • Proficiency in SQL, and Python for data processing, integration and analysis.
  • Strong problem-solving and critical-thinking skills, with the ability to translate business needs into technical solutions.
  • Experience in creating automated reporting and dashboards to drive decision-making.
  • Excellent communication and stakeholder-management skills, with the ability to collaborate effectively across teams.
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