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Chewy

Online pet supplies retailer with subscriptions

Analytics Manager

Data ScienceConfirmed live in the last 24 hours
Full-timeBellevue, WA, USA$129.5k - $207kIn-person

About the Job

Requirements

  • A bachelor's degree in Analytics, Statistics, Economics, Mathematics, Computer Science, Business, Engineering, or a related field; equivalent practical experience may be considered.
  • At least 6 years of experience in analytics, business intelligence, customer experience analytics, operations analytics, product analytics, or a related field.
  • At least 2 years of experience leading analytical projects, programs, or teams.
  • Strong SQL skills and experience working with large, complex datasets.
  • Experience with data visualization and business intelligence tools such as Omni, Tableau, Power BI, or similar platforms.
  • Demonstrated experience translating analytical findings into business recommendations and measurable actions.
  • Strong understanding of statistical concepts, experimental design, segmentation, trend analysis, and hypothesis testing.
  • Experience partnering with senior stakeholders and influencing decisions without direct authority.
  • Excellent written and verbal communication skills, including the ability to explain complex analysis to non-technical audiences.

Responsibilities

  • 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 Voice of Customer 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 Voice of Customer and Customer Care program managers and business leaders to clarify the decision an 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.

Desired Qualifications

  • Experience in Voice of Customer, Customer Care, contact-center, e-commerce, retail, fulfillment, or service operations analytics.
  • Experience analyzing customer feedback, survey data, contact drivers, sentiment, verbatims, CSAT, churn, retention, or customer loyalty.
  • Experience working with Snowflake or similar cloud data platforms.
  • Experience using Python, R, or other analytical programming languages.
  • Experience developing predictive models, leading indicators, anomaly detection, or early-warning mechanisms.
  • Experience connecting customer friction to cost, retention, repeat behavior, or long-term customer value.
  • Experience building scalable self-service analytics products rather than only producing recurring reports.
  • Experience leading analytics through periods of ambiguity, organizational change, or rapidly evolving business priorities.
  • Experience managing, mentoring, and developing analysts or analytics managers.

About the Company

Chewy

Online pet supplies retailer with subscriptions

Chewy operates as an online retailer for pet owners across the United States, selling pet food, toys, beds, pharmaceuticals, and other pet supplies through a direct-to-consumer e-commerce platform. It offers a catalog of more than 60,000 items and emphasizes a strong customer-service approach. The company monetizes primarily through product sales and also supports a subscription model called Autoship, which provides recurring deliveries at a discount to create predictable revenue. This setup helps keep customers returning and ordering on a regular basis. Compared with competitors, Chewy stands out through its large product selection, emphasis on customer service, and a subscription option that encourages ongoing purchases. The company's goal is to be the leading online destination for pet products by delivering convenient, reliable service and building long-term relationships with pet owners.

Company size
10,001+
Company stage
IPO
Headquarters
Plantation, FL
Founded
2011

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