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Merchandising Operations Analyst Jobs (NOW HIRING)

Ernesta

Operations Analyst

New York, NY · On-site

Operations Analyst About Ernesta Ernesta is on a mission to bring gorgeous, design-focused custom ... Work directly with merchandising on last-minute changes - understanding how late updates (style ...

REVOLVE

Merchandising Operations Assistant

Cerritos, CA · On-site

$23 - $26/hr

Through 16 years of continued investment in technology, data analytics, and innovative marketing ... The Merchandising Operations Assistant supports the day-to-day execution of digital merchandising ...

Ernesta

Operations Analyst

New York, NY

Operations Analyst About Ernesta Ernesta is on a mission to bring gorgeous, design-focused custom ... Work directly with merchandising on last-minute changes - understanding how late updates (style ...

Numotion

Merchandising Operations Lead_Retail

$75K - $107K/yr

The Merchandising Operations Lead provides execution leadership across the SpinLife merchandising ... Analytical mindset with ability to identify process gaps and implement improvements. PREFERRED ...

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How much do merchandising operations analyst jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for merchandising operations analyst in the United States is $33.75, according to ZipRecruiter salary data. Most workers in this role earn between $24.04 and $40.38 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Merchandising Operations Analyst, and why are they important?

To thrive as a Merchandising Operations Analyst, you need strong analytical abilities, proficiency in data interpretation, and experience with merchandising processes, often supported by a degree in business, finance, or a related field. Familiarity with Excel, retail analytics platforms, inventory management systems, and sometimes SQL or business intelligence tools is typically required. Attention to detail, problem-solving skills, and effective communication help you collaborate across teams and drive process improvements. These skills are critical for optimizing product assortment, improving inventory accuracy, and supporting data-driven merchandising decisions.

What is the difference between Merchandising Operations Analyst vs Merchandising Coordinator?

AspectMerchandising Operations AnalystMerchandising Coordinator
CredentialsBachelor's degree in Business, Marketing, or related field; experience with data analysis toolsBachelor's degree; strong organizational and communication skills
Work EnvironmentOffice setting, analyzing sales data, supporting operationsOffice environment, coordinating product displays and inventory
Employer & IndustryRetail, e-commerce, consumer goods companiesRetail stores, merchandising firms, consumer brands
Search & Comparison IntentHigh overlap in job functions and industry usageCommonly compared with Merchandising Operations Analyst for role clarity

The Merchandising Operations Analyst focuses on analyzing sales data, optimizing inventory, and supporting operational efficiency. In contrast, the Merchandising Coordinator handles product displays, inventory management, and coordination tasks. Both roles are essential in retail environments, often working together to ensure effective merchandising strategies and smooth operations.

What are some common challenges faced by Merchandising Operations Analysts, and how can they be overcome?

Merchandising Operations Analysts often encounter challenges such as managing large volumes of product data, coordinating between multiple departments, and adapting to rapidly changing market trends. To overcome these, strong organizational skills, attention to detail, and effective communication are essential. Leveraging analytical tools and establishing clear processes for cross-functional collaboration can help streamline workflows and ensure data accuracy, ultimately supporting better decision-making in merchandising strategies.

What are Merchandising Operations Analysts?

Merchandising Operations Analysts are professionals who analyze and optimize the processes involved in getting products from suppliers to store shelves or online platforms. They use data to assess sales trends, inventory levels, and merchandising effectiveness, providing insights that help improve product placement, pricing, and promotions. Their responsibilities often include collaborating with buying, supply chain, and marketing teams to ensure products are available and presented to maximize sales and profitability. Strong analytical skills, attention to detail, and knowledge of retail operations are key for success in this role.
More about Merchandising Operations Analyst jobs
What states have the most Merchandising Operations Analyst jobs? States with the most job openings for Merchandising Operations Analyst jobs include:
What job categories do people searching Merchandising Operations Analyst jobs look for? The top searched job categories for Merchandising Operations Analyst jobs are:
Merchandising Operations Analyst jobs near you
Infographic showing various Merchandising Operations Analyst job openings in the United States as of July 2026, with employment types broken down into 65% Full Time, 4% Part Time, and 31% Contract. Highlights an 61% Physical, 5% Hybrid, and 34% Remote job distribution, with an average salary of $70,210 per year, or $33.8 per hour.
Senior Merchandising Operations Analyst

Senior Merchandising Operations Analyst

Chewy

Plantation, FL • On-site

Full-time

Posted 6 days ago

Chewy rating

6.9

Company rating: 6.9 out of 10

Based on 223 frontline employees who took The Breakroom Quiz

9th of 39 rated national retailers

Job description

Job Description:
Our Opportunity
Chewy is looking for a passionate, data-driven Senior Merchandising Operations Analyst to join our Catalog Operations Team based in Plantation, FL.
Catalog Operations sits within the larger Merchandising Operations group, which is responsible for creating the systems, services, and process infrastructure that support all Chewy businesses. The team's mission is to be the backbone for Chewy's Business and Category teams, helping drive long-term customer trust, business growth, and profitability. We own Catalog, Content, and Vendor Systems & Services that include automation, product, program, and operational components.
The ideal candidate will bring a strong mix of information systems knowledge, merchandising business process expertise, data analysis capability, and a forward-looking mindset toward automation and AI-enabled process improvement. This person will play a key role in owning and improving catalog data completeness across Chewy's item-level data, ensuring that our catalog is accurate, complete, usable, and optimized to support customer discovery, product detail page quality, business decision-making, and operational scale.
This role requires someone who is innovative, diligent, and deeply ownership-oriented. The ideal candidate is curious, capable of deep-diving complex data and process issues, and motivated to identify where AI, automation, and improved tooling can create meaningful operational leverage. They should be an advocate for responsible AI adoption, actively seeking opportunities to use emerging tools to improve quality, speed, visibility, and scalability across Catalog Operations.
What You'll Do
  • 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.

What You'll Need
  • BA in Economics, Finance, Business, Computer Science, Engineering, Information Systems, or a related field, or equivalent experience. Master's degree preferred.
  • 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.
  • Position may require occasional travel.

Bonus
  • 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.

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.

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About Chewy

Sourced by ZipRecruiter

Chewy is a prominent player in the e-commerce industry, specifically dedicated to pet owners. Based in Dania Beach, Florida, the company was founded in 2011 with the aim to make pet shopping easier and more convenient. Chewy offers a wide range of products including pet food, toys, and other pet-related essentials from over 1,000 trusted brands, along with prescription food and medications from certified veterinarians. The company stands out for its dedication to providing 24/7 customer service and shipping orders over $49 for free. Chewy's mission is to be the most trusted and convenient online destination for pet parents everywhere by committed to delivering pet happiness.

Industry

Retail

Company size

10,000+ Employees

Headquarters location

Plantation, FL, US

Year founded

2011

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