Business Intelligence Engineer II

Chewy • Plantation, FL

1d • $102,500 - $189,000

About The Position

Chewy is seeking a Business Intelligence Engineer II to help its Customer Care team use data to improve experiences for customers, pets, and team members. The role owns analytics solutions from business requirements through deployment and adoption, combining SQL, Python, visualization tools, and AI-assisted workflows to deliver trusted data products, automate reporting, and make insights accessible. The engineer will help stakeholders understand customer contact drivers, service performance, and customer satisfaction, and identify opportunities for improvement.

The position includes building reliable datasets, reusable data models, dashboards, and analytical tools; supporting reporting and monitoring across batch and streaming data; applying AI to analytics workflows and customer feedback; contributing to AI-enabled self-service experiences; and evaluating business impact through statistical methods. The role also emphasizes data quality, explainability, responsible handling of customer data, stakeholder collaboration, documentation, user training, peer review, and continuous improvement of analytics practices.

Requirements

• Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or a related field, or equivalent practical experience.
• At least 3 years of experience in business intelligence, data analytics, or a related role.
• Strong SQL skills, including complex joins, window functions, query optimization, and relational databases.
• Proficiency in Python for data analysis and automation, including libraries such as pandas, matplotlib, or Plotly.
• Experience building dashboards or analytical applications using Tableau, Power BI, Streamlit, Plotly, or similar tools.
• Experience with data modeling, ETL/ELT processes, data quality validation, and defining consistent business metrics.
• Working knowledge of statistics, hypothesis testing, and analytical methods, including distinguishing correlation from causation.
• Familiarity with AI-assisted analytics or development workflows, including verifying generated code and insights and recognizing unreliable outputs.
• Ability to navigate ambiguous business questions and independently deliver solutions with measurable value.
• Strong communication and stakeholder partnership skills, including explaining technical findings to nontechnical audiences.
• Experience using version control and maintaining documented, reproducible analytical work.

Nice To Haves

• Experience with cloud platforms and modern data warehouses, such as AWS, Azure, or GCP.
• Experience analyzing Customer Care, contact center, retail, or e-commerce data.
• Hands-on experience integrating large language models into analytical workflows through approved APIs or enterprise tools.
• Familiarity with grounding AI outputs in trusted data, evaluating response quality, and designing appropriate human review.
• Experience with text analytics, customer feedback classification, or analysis of conversation data.
• Exposure to streaming data, workflow orchestration, automated monitoring, or experimentation.

Responsibilities

• Translate business questions into clear requirements, define success measures, and deliver reliable datasets, dashboards, and analytical tools end to end.
• Write and optimize complex SQL queries; develop reusable data models; and use Python to extract, clean, integrate, and analyze data from multiple sources.
• Support timely reporting, anomaly detection, and operational alerts using batch and, where appropriate, streaming data.
• Build and maintain dashboards and applications using tools such as Tableau, Streamlit, and Plotly.
• Use approved AI tools to accelerate SQL and Python development, exploratory analysis, documentation, and prototyping, and validate generated outputs.
• Partner with relevant teams to apply AI-assisted classification, summarization, and text analysis to customer interactions and validate identified themes against source data.
• Contribute to AI-enabled self-service tools, such as natural-language data exploration and automated insight summaries, grounded in governed data and defined metrics.
• Apply statistical analysis, hypothesis testing, and appropriate evaluation methods to assess operational changes, automation, and AI-enabled Customer Care initiatives.
• Implement data checks, investigate discrepancies, communicate assumptions and limitations, and follow policies for privacy, security, and use of customer data with AI tools.
• Collaborate with business, operations, and technical stakeholders to prioritize needs and present findings and recommendations clearly.
• Document data definitions and processes, train business users, contribute to peer reviews, and share reusable approaches.

Benefits

• 401k
• New hire and annual equity grant; C08+ positions may also be eligible for an annual bonus.
• Medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident insurance.
• Parental leave and family services benefits.
• Backup dependent care and flexible spending accounts.
• Telemedicine and employee assistance program.
• Pet adoption reimbursement and discounts, including 10% off pet insurance and 20% off 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level