Business Analyst with 3+ years at Amazon, translating competitive data into revenue-generating strategies. Delivered a 4.5% Prime Day sales lift by recommending targeted pricing adjustments on a high-visibility Walmart/Target competitor project. Processed 1,450+ product mappings daily with measurable efficiency gains — bringing a data-first mindset, cross-functional collaboration, and a track record of turning ambiguous market signals into clear business decisions. ▸ Drove a 4.5% increase in Prime Day sales for targeted product categories by analyzing pricing strategies across Walmart, Target, and Champion (WTC Project) and delivering actionable pricing recommendations to senior stakeholders.
▸ Executed 800 forward mappings and 650 reverse mappings per day (1,450+ total), maintaining 98%+ accuracy and enabling real-time competitive benchmarking across Amazon's catalogue.
▸ Cut data-analysis cycle time by 7% by re-engineering the mapping workflow and optimizing internal tooling — freeing ~3 analyst-hours per week for higher-value insight work.
▸ Partnered with cross-functional teams (Pricing, Merchandising, Sales) over 2+ years to build competitive pricing models that informed go-to-market strategies for key US product categories.
▸ Identified pricing and assortment gaps by analyzing competitor product trends and selling strategies, producing weekly intelligence reports that shaped Amazon's category positioning.
▸ Mentored 2 junior analysts on mapping methodology and data quality standards, reducing onboarding time by 30% and improving team throughput