(Senior) Business Intelligence Analyst (FP&A) - BI & Planning, Shopee
Posted: 4 days ago
Job Description
About The TeamJoin Shopee’s Business Intelligence - FP&A team to drive commercial and Profit & Loss (P&L) impact through deep analytics, scenario modeling, and cross-functional influence. You’ll partner with diverse stakeholders across Business Development, Seller Management, Marketing, Finance, and Operations to shape decisions on revenue growth and cost efficiency in a fast-paced, high-stakes environment.Job DescriptionOwn complex SQL analytics: Write complex and high-performance SQL, and build pipelines that power decision-making.Lead Commercial & P&L scenario modeling: Simulate Commercial & P&L outcomes, quantify trade-offs, and recommend actions with clear P&L impact.Influence stakeholders: Translate data into actionable narratives; drive alignment and decisions across Business Development/Seller teams/Marketing/Finance; facilitate reviews and defend recommendations with evidence.Spot and size opportunities: Identify revenue levers, cost optimizations, and operational efficiencies; estimate impact and risks.Operate under pressure: Manage competing priorities, deliver to tight timelines, and maintain analytical quality and accuracy.Build decision tools: Create dashboards and reports to empower stakeholders with actionable insights.Uphold data quality: Define metrics, validate logic, and ensure traceability from raw data to final insights Requirements3+ years in Business Intelligence / Analytics with advanced SQL.Proven experience influencing decisions and managing diverse stakeholders in high-stakes settings.Strong Excel skills.Clear communication in English and Vietnamese - able to craft concise memos and present to cross-functional leads.Resilience and execution under high pressure with strong prioritization and ownerships E-commerce domain knowledge (seller segments, pricing, promotions, ads, logistics costs).Hands-on scenario modeling for commercial initiatives and P&L (revenue/cost drivers, sensitivities, assumptions, and version control).Experience with Python/R for data wrangling, forecasting, or experiment analysis
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