Senior Catalog Systems Analyst – AI & Automation

Chewy•Plantation, FL

2d•$78,500 - $118,000•Hybrid

About The Position

Chewy is looking for a passionate, data-driven Senior Merchandising Operations Analyst to join our Catalog Operations Team. This role is part of the Merchandising Operations group, which builds the systems, services, and process infrastructure for all Chewy businesses. The team's mission is to support Chewy's Business and Category teams, driving customer trust, business growth, and profitability. They own Catalog, Content, and Vendor Systems & Services, focusing on automation, product, program, and operational components. The ideal candidate will possess a strong blend of information systems knowledge, merchandising business process expertise, data analysis skills, and a forward-thinking approach to automation and AI for process improvement. This position is crucial for owning and enhancing catalog data completeness across Chewy's item-level data, ensuring accuracy, completeness, usability, and optimization to support customer discovery, product detail page quality, business decision-making, and operational scale. The role demands an innovative, diligent, and ownership-oriented individual who is curious, capable of deep-diving into complex data and process issues, and motivated to leverage AI, automation, and improved tooling for operational efficiency. They should champion responsible AI adoption, seeking opportunities to use emerging tools to enhance quality, speed, visibility, and scalability within Catalog Operations.

Requirements

BA in Economics, Finance, Business, Computer Science, Engineering, Information Systems, or a related field, or equivalent experience.
2–3+ years of experience in business systems, merchandising operations, catalog operations, data analytics, or a related subject-matter expert capacity.
Strong understanding of catalog data, item-level attributes, product content, operational workflows, data quality, or ERP/catalog systems.
Background in creating, managing, and improving metrics and KPIs using quantitative analysis.
Demonstrated ability to identify process inefficiencies and use automation, AI tools, or scalable mechanisms to improve quality, speed, and operational leverage.
Proficient in SQL.
Advanced experience with Microsoft Office products.
Superior attention to detail and experience creating mechanisms to monitor data integrity, completeness, and operational performance.
Strong communication, verbal, written, and interpersonal skills, with the ability to translate complex analysis into summarized business terms.
Ability to communicate effectively with technical teams and influence cross-functional stakeholders.
An entrepreneurial mindset and a driving passion to challenge, improve, and modernize current processes.
Curiosity and openness toward emerging technologies, including AI-enabled tools, and a willingness to test, learn, and responsibly apply them to improve business processes.
Demonstrated ability to work in a team environment.
Ability to operate in ambiguous environments with speed, ownership, and commitment to quality.

Nice To Haves

Master’s degree preferred.
Relevant work experience using Python or R for data analytics.
Data visualization skills using Tableau or an equivalent data visualization tool.
Experience using AI tools, automation platforms, or machine learning-enabled workflows to improve operational processes, data quality, or analytical efficiency.
Prior experience with software quality processes and Atlassian tools such as Confluence and Jira.
Prior experience with ERP, PIM, catalog management, or item master data systems.
E-commerce background is a plus.

Responsibilities

Own and improve catalog data completeness across assigned areas of the Chewy catalog, ensuring item-level data is accurate, complete, consistent, and usable for customer-facing experiences, internal operations, and business decision-making.
Serve as a subject matter expert independently overseeing a specific body of work or process across 1–2 high-visibility, high-complexity areas.
Execute work within assigned areas, identify and eliminate risks, issues, defects, and process gaps, and create mechanisms to monitor data quality, completeness, and operational performance.
Use data analysis to identify catalog completeness gaps, root causes, business impact, and opportunities to improve customer discovery, PDP quality, operational efficiency, and category team outcomes.
Champion the use of AI, automation, and scalable tooling to improve Catalog Operations processes, reduce manual work, increase quality, and accelerate decision-making.
Partner with technical teams to drive systems improvements, AI-enabled workflows, automation opportunities, and elegant analytical tools with a high degree of autonomy.
Develop standard operating procedures, process documentation, reporting mechanisms, and governance routines that improve consistency, scalability, and accountability.
Communicate metrics, data insights, completeness trends, AI-enabled opportunities, and business impact to leaders in a way that informs prioritization and decision-making.
Synthesize large quantities of complex data into usable, actionable insights for business, operations, product, and technical stakeholders.
Support ad hoc projects and initiatives involving Catalog systems, content quality, data completeness, process automation, and operational improvement.
Educate and partner with cross-functional stakeholders, including Business, Category, Product, Engineering, Vendor Systems, and Operations teams.
Mentor junior team members and contractors when needed.

Benefits

401k
new hire and annual equity grant
annual bonus (for C08+ positions)
medical/Rx insurance
vision insurance
dental insurance
life insurance
disability insurance
hospital indemnity insurance
critical illness insurance
accident insurance
parental leave
family services benefits
backup dependent care
flexible spending accounts
telemedicine
pet adoption reimbursement
employee assistance program
10% off pet insurance
20% off at Chewy.com
unlimited PTO (subject to manager approval for exempt salary team members)
six paid holidays per year
paid sick and family leave (in compliance with applicable state and local regulations)