Job description

Job Description: Our Opportunity Chewy is seeking a Business Intelligence Engineer III to join the Fulfillment Center Technology Analytics team. The team is focused 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. The successful candidate will design and build complex analytics and applied AI solutions, set engineering standards for the team, and partner closely with Product, Engineering, Data Science and Operations. What You ll Do 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 that help Operations and Product teams manage the business proactively. Apply AI, machine learning, agentic workflows, retrieval-augmented generation and predictive analytics to operational problems, taking solutions from discovery and validation through production adoption. Design scalable, tested and well-documented data models and pipelines, with strong 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. What You ll Need 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. Proven ability to work through ambiguity, define the right problem and deliver scalable solutions tied to business outcomes. Strong written and verbal communication skills. Bonus 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. The base salary range for this role is $125,500 - $220,500.00. The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate’s relevant experience, education, and work location. In addition, this position is eligible for 401k and a new hire and annual equity grant. C08 positions may also be eligible for annual bonus. We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident. We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com. Exempt salary team members have unlimited PTO, subject to manager approval. Team members will receive six paid holidays per year. Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations. Chewy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, gender, citizenship, marital status, religion, age, disability, gender identity, results of genetic testing, veteran status, as well as any other legally-protected characteristic. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact CAAR chewy.com . To access Chewy s California CPRA Job Applicant Privacy Policy, please click here .

Requirements

Must-haves

What You ll Do 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 that help Operations and Product teams manage the business proactively.
Apply AI, machine learning, agentic workflows, retrieval-augmented generation and predictive analytics to operational problems, taking solutions from discovery and validation through production adoption.
Design scalable, tested and well-documented data models and pipelines, with strong 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.
What You ll Need 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.
Proven ability to work through ambiguity, define the right problem and deliver scalable solutions tied to business outcomes.
Strong written and verbal communication skills.
Experience with agent orchestration frameworks, AI evaluation or statistical experimentation.
Track record of building reusable tools or frameworks adopted across teams.
To access Chewy s California CPRA Job Applicant Privacy Policy, please click here .

Nice-to-haves

Bonus Experience with fulfillment, supply chain, labor management, robotics or other large-scale operational systems.

Application prep

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Keywords to mirror

aimachine learningmlsqlpythonawsreactci/cd

Platform: workday
Effort: long

Benefits

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Dental

Vision

401k

Pto

Parental Leave