Aishwarya R
Product Analyst | Skilled in Python, SQL & Power BI
- Role
- Product Analyst at Wayfair
- Location
- North Dartmouth, MA, US
- LinkedIn followers
- 500 followers
About Aishwarya R
Product Manager with 5+ years of experience building B2B SaaS and digital commerce…
Experience
Product Analyst
May 2024 — Present
Defined and launched the MVP of a multi-order sync feature, enabling customers to consolidate deliveries into a single shipment. Collaborated with logistics, warehouse, and engineering to pilot workflows, streamlining fulfillment for orders per week.• Planned and executed the go-to-market strategy for the multi-order sync feature, including internal training, documentation, and cross- functional alignment, ensuring smooth rollout and adoption across all digital and warehouse operations.• Built interactive Power BI dashboards to track fulfillment rates, delivery times, cart abandonment, and inventory across SKUs and warehouses, providing leadership with actionable insights to improve delivery efficiency and customer experience.• Led the SDLC of an order workflow automation tool for suppliers and warehouse partners, coordinating with legal, compliance, and engineering teams. Managed Agile epics and tasks in JIRA, reducing order processing time by hundreds of hours per month.• Partnered with UX and accessibility teams to redesign checkout and cart flows, creating wireframes in Figma and conducting usability tests. Optimized navigation for thousands of daily users, improving purchase completion efficiency and reducing friction.• Monitored and analyzed user behavior on product recommendation modules using Mixpanel, identifying key friction points and implementing UI adjustments that improved session engagement for daily users.• Collaborated with customer service, logistics, and compliance teams to improve returns and exchanges processes across web and mobile platforms. Led UAT sessions and resolved hundreds of issues pre-launch, ensuring regulatory compliance.• Conducted post-launch analysis of feature adoption, delivery performance, and customer satisfaction metrics, translating insights into actionable backlog items for continuous product improvement.
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