Manager, CS Analytics III at Chewy in Bellevue, WA

  • Company: Chewy
  • Location: Bellevue, WA
  • Salary: $130K – $207K
  • Job type: full time
  • Workplace: onsite
  • Posted: 2026-10-29

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Job description

Job Description: Chewy is committed to being the most trusted and convenient destination for pet parents and partners. Our teams work every day to make pet care easier, more accessible, and more joyful for millions of customers and their pets. The Voice of Customer team puts the customer at the center of Chewy’s decisions by turning customer experiences into insights, action, and meaningful change. We bring together customer feedback, contact-center data, surveys, sentiment, operational metrics, behavioral signals, and frontline insights to identify customer friction, quantify its impact, prioritize opportunities, and measure whether changes improve the customer experience. We are seeking an Analytics Manager to lead the analytics capability for Chewy’s Voice of Customer organization. This role will translate complex and fragmented customer data into clear insights that influence business decisions, improve customer experiences, and strengthen customer loyalty. The successful candidate will combine strong analytical expertise with business judgment and storytelling. They will help the organization move beyond reactive reporting toward proactive identification of customer risks, emerging issues, root causes, and opportunities for improvement. This role will partner closely with Customer Care, Product, Operations, Technology, Fulfillment, Marketing, and other business teams. The Analytics Manager will help leaders understand not only what customers are experiencing, but why it is happening, how many customers are affected, the downstream business impact, and what actions should be taken. What you’ll do: Lead the development of an analytics strategy and measurement framework for the Voice of Customer organization. Build scalable dashboards, standardized views, alerts, and self-service analytics that enable stakeholders to answer common business questions independently. Integrate and analyze data from multiple sources, including customer contacts, chat, email, surveys, CSAT, sentiment, verbatims, social and review feedback, operational metrics, fulfillment and delivery data, customer behavior, escalations, and complaints. Identify customer friction, emerging risks, root causes, and low-frequency/high-impact experiences that may not be visible through volume metrics alone. Quantify the customer and business impact of identified issues, including potential effects on customer trust, repeat contacts, retention, loyalty, cost, and long-term customer value. Establish clear definitions, data governance, measurement standards, and documentation for VOC metrics and reporting. Develop baseline and post-launch measurement approaches for business changes, product launches, promotions, operational events, and customer-impacting initiatives. Create executive-ready analyses and narratives that connect data patterns to customer experiences, business outcomes, and recommended actions. Partner with VOC and Customer Care program managers and business leaders to clarify the decision a piece of analysis is intended to support, define success measures, and prioritize work based on customer and business impact. Develop leading indicators and monitoring mechanisms to identify customer-impacting issues before they become large-scale problems. Support proactive monitoring of high-volume and high-risk events, including promotional periods, shipping changes, fulfillment disruptions, and other operational changes. Lead analytical deep dives, experimentation, forecasting, segmentation, correlation, regression, and other appropriate analytical methods to answer complex business questions. Establish mechanisms to measure whether business actions result in improved customer outcomes. Coach, develop, and raise the analytical capabilities of team members and cross-functional partners. Influence senior leaders and partner teams through clear, concise, and fact-based recommendations. What you’ll need: Bachelor’s degree in Analytics, Statistics, Economics, Mathematic

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