About The Position
Chewy is seeking a Business Intelligence Engineer III to join the Fulfillment Center Technology Analytics team. The team focuses on scalable product analytics, AI-enabled inspection tools, and proactive operational decision support across Chewy's fulfillment network. This is a hands-on senior technical role responsible for designing and building complex analytics and applied AI solutions, setting engineering standards, and partnering closely with Product, Engineering, Data Science, and Operations.
Requirements
- Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, Information Systems, or a related field.
- 5+ years of experience in business intelligence, analytics engineering, data engineering, or applied AI/ML.
- Strong technical depth in SQL, Python, data modeling, ETL/ELT, and cloud data platforms such as AWS and Snowflake.
- Experience with modern data transformation and testing tools such as dbt.
- Practical experience applying AI/ML to analytics or operational workflows, such as LLMs, agents, RAG, evaluation frameworks, or predictive models.
- Experience building analytics applications or visualizations using tools such as Streamlit, Plotly Dash, React, or Tableau.
- Solid software engineering practices, including source control, modular design, testing, CI/CD, and monitoring.
- Ability to work through ambiguity, define the right problem, and deliver scalable solutions tied to business outcomes.
- Strong written and verbal communication skills.
Nice To Haves
- Experience with fulfillment, supply chain, labor management, robotics, or other large-scale operational systems.
- Experience with agent orchestration frameworks, AI evaluation, or statistical experimentation.
- Track record of building reusable tools or frameworks adopted across teams.
Responsibilities
- Lead complex, multi-domain analyses of fulfillment center performance, including efficiency, throughput, capacity, labor productivity, and quality.
- Build reusable analytics products, inspection tools, automated root-cause analysis, and self-service capabilities for Operations and Product teams.
- Apply AI, machine learning, agentic workflows, retrieval-augmented generation, and predictive analytics to operational problems, advancing solutions from discovery and validation through production adoption.
- Design scalable, tested, and well-documented data models and pipelines, ensuring data quality, observability, and production readiness.
- Own analytics initiatives end to end, from problem definition and metric design through development, deployment, adoption, and measurement of business impact.
- Raise the team's engineering bar through design and code reviews, shared standards, and reusable components adopted by adjacent teams.
- Mentor junior BI engineers and foster a culture of experimentation, disciplined validation, and reuse.
- Communicate findings, tradeoffs, and recommendations clearly to technical teams, operational partners, and senior leaders.
Benefits
- 401(k)
- New hire and annual equity grant
- Annual bonus eligibility for C08+ positions
- Medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident insurance
- Parental leave
- Family services benefits
- Backup dependent care
- Flexible spending accounts
- Telemedicine
- Pet adoption reimbursement
- Employee assistance program
- Discounts, including 10% off pet insurance and 20% off at Chewy.com
- Unlimited PTO for exempt salary team members, subject to manager approval
- Six paid holidays per year
- Paid sick and family leave may be available in compliance with applicable state and local regulations
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What This Job Offers
Job Type
Full-time
Career Level
Senior
