Pricing Data Analyst

Chewy • Plantation, FL

2d

About The Position

Chewy is hiring a Pricing Data Analyst to support pricing programs that strengthen customer trust, competitive price perception, and pricing consistency. The role combines hands-on analysis with operational ownership, including monitoring pricing performance, investigating issues, and turning insights into improvements to tools and processes. The analyst works with Pricing Analytics, Data Science, Product and Technology, Merchandising, and other partner teams. The ideal candidate is detail-oriented, comfortable working with large datasets, and able to connect data findings to clear next steps.

Requirements

• 2+ years of relevant experience in pricing, merchandising, retail, e-commerce, or a related field.
• Strong SQL skills and experience analyzing large datasets.
• Experience with Excel and a data visualization tool such as Tableau.
• Strong analytical and problem-solving skills, including the ability to investigate data issues and explain findings.
• Attention to detail and ability to manage recurring work alongside multiple priorities.
• Clear written and verbal communication skills.
• Ability to work independently and collaborate across teams in a changing environment.
• A bias for action and interest in improving business processes and tools.

Nice To Haves

• Python or a similar programming language.
• Bachelor’s degree in a quantitative, business, or related field, or equivalent practical experience.
• Experience supporting competitive intelligence or pricing operations.
• Experience in e-commerce.

Responsibilities

• Use SQL and other analytical tools to assess pricing performance, competitive matching, price perception, and margin-related opportunities.
• Build and maintain reporting and monitoring to help teams track pricing metrics, identify issues, and understand trends.
• Investigate pricing or data quality issues, identify root causes, and coordinate with partner teams on resolution.
• Support pricing initiatives by helping define cohorts, validate data, monitor results, and prepare readouts.
• Help maintain recurring pricing processes and identify opportunities to improve their accuracy, efficiency, and scalability.
• Partner with Analytics, Data Science, Product and Technology, Merchandising, and other teams to clarify business needs and support tools or automation.
• Summarize findings and recommendations clearly and actionably for technical and business partners.
• Document processes, requirements, and analytical methods to support consistent execution.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed