Shopee
Strategy & Analytics Analyst (Shopee)
Skills
3 months ago
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Important information
Work mode:
Onsite
Published on:
17 August 2026
What they need
Department Operations
LevelEntry Level
LocationBangkok
The Operation teams at Shopee covers the operational end-to-end process, from when the buyer searches for a product listed on the Shopee platform, to the moment the buyer receives the products. The team analyses and monitors operational KPIs across the region and conducts root cause analysis when operation performance fluctuates. The Operations team comprises Customer Service, Payment, Listings, Warehouse, Logistics, Seller Operations and Fraud.
Job Description:
- Cross-Country Frameworks & Efficiency Optimization: Develop and monitor cross-country frameworks and efficiency metrics to optimize platform growth and profitability across SEA markets.
- Quantitative Modeling & Strategic Problem Solving: Frame and structure ambiguous, open-ended business questions into actionable quantitative models, strategic frameworks, and commercial implications across SEA markets.
- Industry Intelligence & Market Benchmarking: Monitor industry trends, external market benchmarks, and platform dynamics across e-commerce and tech sectors to spot strategic growth opportunities.
- Executive Communication & Storytelling: Synthesize complex data into clear, structured presentation decks and strategic summaries for executive leadership (e.g., Gteam leadership meetings) and cross-functional stakeholders.
- Strategic Governance & Core Deliverables: Manage key Regional Insight deliverables including PRM bucket consolidation, cross-country performance, healthiness, and efficiency tracking.
Requirements:
- Education: Bachelor’s degree or higher in Business, Economics, Computer Science, Information Systems, Business Analytics, or a related quantitative field.
- Professional Experience: 1–3 years of experience in top-tier strategy consulting, corporate strategy, investment banking, business intelligence, or data analytics (e-commerce/tech background is highly desirable).
- Technical Skills: Proficiency in SQL and Excel for data querying, manipulation, and statistical modeling. Familiarity with data visualization tools and data warehousing principles is a plus.
- Structured Problem-Solving: Ability to apply structured frameworks to break down complex problems and estimate hard-to-find information.
- Communication Skills: Excellent written and verbal communication; comfortable translating data insights into clean, structured presentation decks.
- Core Competencies: Self-starter comfortable navigating evolving team scopes, managing multiple priorities, and executing with high attention to detail in a fast-paced environment.
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