Business Analyst II, WW FBA Central Analytics
Amazon
DESCRIPTION
Fulfillment by Amazon (FBA) enables sellers to scale their businesses globally by leveraging Amazon’s world-class fulfillment network. Sellers using FBA benefit from fast, reliable shipping, Prime delivery eligibility, and hassle-free returns—allowing them to focus on growth while we handle operations. The WW FBA Central Analytics team builds and operates scalable, enterprise-grade data infrastructure, tools, and analytics solutions that power WW FBA business. We partner across global product, program, and operations teams to unify diverse datasets, deliver self-service analytics, and develop next-generation capabilities using LLMs to unlock insights.
Our charter includes building the foundational pipelines, governance frameworks, and intelligent interfaces that enable internal customers to query, analyze, and act on complex datasets with natural language. This is an opportunity to work on one of the largest, complex, and critical analytics ecosystems, designing solutions that combine massive scale, high reliability, and advanced AI.
We are seeking a Business Analyst who will own and forward-looking insight generation for key FBA operational domains. Your analyses will anticipate problems, quantify business impact, and recommend concrete operational actions. You’ll translate ambiguous questions into robust analytic plans, build reproducible forecasting pipelines and dashboards, and influence execution with clear, data-driven recommendations.
Key job responsibilities
- Early warning signals: Build and maintain statistical forecasts for FBA metrics; surface anomalies and leading indicators that predict KPI deterioration.
- Actionable insight delivery: Produce concise executive narratives (what happened, why, recommended action, expected impact) and work with Ops/product teams to drive implementation and measure outcomes.
- Reproducible pipelines & dashboards: Develop automated analytic pipelines (SQL + Python notebooks) and dashboards that operationalize forecasts and alerts for stakeholders.
- Cross-functional partnership: Partner with Data Engineers, BIEs, and ML teams for insights generation.
- Metric stewardship: Maintain and improve canonical KPI definitions, document assumptions, and ensure lineage and freshness for forecast inputs.