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Merchandise Data Analyst Jobs in Bothell, WA (NOW HIRING)

Jobtailor

Senior Benefits Analyst

Seattle, WA · On-site

$120 - $150/hr

Manages communication, education, and compliance for Nordstrom's Merchandise Discount Program ... Experience analyzing and interpreting data and creating effective and engaging presentations

New

Visa

Staff Data Scientist

Bellevue, WA · On-site

$145K/yr

Define and lead high-impact ML initiatives across dispute decisioning, merchant matching, and ... Experience applying data science or analytics solutions to solve complex business problems with ...

Visa Inc.

Staff Data Scientist

Bellevue, WA · On-site

$145K/yr

Define and lead high-impact ML initiatives across dispute decisioning, merchant matching, and ... Experience applying data science or analytics solutions to solve complex business problems with ...

Visa

Staff Data Scientist

Bellevue, WA

$145K/yr

Define and lead high-impact ML initiatives across dispute decisioning, merchant matching, and ... Experience applying data science or analytics solutions to solve complex business problems with ...

Hasbro

Director Analytics WOTC

Renton, WA · Hybrid

... data-driven planning and efficiency improvements. * Improve business insights, merchandising ... Integrate analytics outcomes into annual and long-range planning processes, securing executive ...

Hasbro

Director Analytics WOTC

Renton, WA · On-site

... data-driven planning and efficiency improvements. * Improve business insights, merchandising ... Integrate analytics outcomes into annual and long-range planning processes, securing executive ...

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All JobsMerchandise Data Analyst JobsMerchandise Data Analyst Jobs in Bothell, WA

Merchandise Data Analyst information

See Bothell, WA salary details

$38K

$92.4K

$152K

How much do merchandise data analyst jobs pay per year?

As of Aug 20, 2026, the average yearly pay for merchandise data analyst in Bothell, WA is $92,382.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,900.00 and $108,400.00 per year, depending on experience, location, and employer.

What does a merchandise data analyst do?

A Merchandise Data Analyst is responsible for collecting, analyzing, and interpreting data related to merchandise sales, inventory, and customer behavior. They use this information to identify trends, forecast demand, and make recommendations that optimize product assortments and inventory levels. Their insights help retailers improve sales performance, reduce stockouts and overstocks, and enhance customer satisfaction. Merchandise Data Analysts often work closely with buying, marketing, and supply chain teams to support strategic decision-making.

What are the key skills and qualifications needed to thrive as a merchandise data analyst?

To thrive as a Merchandise Data Analyst, you need strong analytical abilities, a solid understanding of retail operations, and proficiency in data analysis, typically supported by a degree in business, mathematics, or a related field. Expertise in tools such as Excel, SQL, Tableau, and experience with merchandising or inventory management systems is highly valuable. Attention to detail, problem-solving skills, and effective communication are critical soft skills for interpreting data and collaborating with cross-functional teams. These skills ensure accurate insights and recommendations that drive inventory optimization, sales growth, and strategic retail decisions.

How does a merchandise data analyst typically collaborate with merchandising and buying teams to influence product assortment decisions?

As a Merchandise Data Analyst, you will work closely with merchandising and buying teams by providing data-driven insights on sales trends, inventory levels, and customer preferences. Your analyses help inform decisions about which products to stock, discontinue, or promote, ensuring that assortments align with market demand and company goals. Regular meetings and cross-functional projects are common, where you'll present findings and recommendations, making your role highly collaborative and influential in shaping the product mix.

What is the difference between Merchandise Data Analyst vs Inventory Analyst?

AspectMerchandise Data AnalystInventory Analyst
Required CredentialsBachelor's in Business, Data Analytics, or related field; proficiency in data toolsBachelor's in Supply Chain, Logistics, or related; strong analytical skills
Work EnvironmentRetail or e-commerce companies; data-driven teamsWarehouses, distribution centers, retail stores
Employer & Industry UsageUsed in retail, fashion, and consumer goods industriesCommon in retail, manufacturing, and logistics sectors
Comparison Search IntentAnalyzing sales data, product performance, and trendsManaging stock levels, replenishment, and supply chain efficiency

The Merchandise Data Analyst focuses on analyzing sales and product data to optimize merchandising strategies, while the Inventory Analyst concentrates on managing stock levels and supply chain operations. Both roles require analytical skills and industry knowledge but serve different aspects of retail operations.

What are popular job titles related to Merchandise Data Analyst jobs in Bothell, WA?

For Merchandise Data Analyst jobs in Bothell, WA, the most frequently searched job titles are:

What job categories do people searching Merchandise Data Analyst jobs in Bothell, WA look for?

The top searched job categories for Merchandise Data Analyst jobs in Bothell, WA are:

What cities near Bothell, WA are hiring for Merchandise Data Analyst jobs?

Cities near Bothell, WA with the most Merchandise Data Analyst job openings:

Merchandise Data Analyst jobs near you

Financial Planning & Analysis (FP&A) Analyst, Multichannel Fulfillment Finance

Amazon

Seattle, WA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,098 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

The Multi-Channel Commerce and Fulfillment (MCCF) Finance team seeks a Senior Financial Analyst to support the planning, close, and reporting processes for MCCF. MCCF enables merchants to meet shopper needs in an omnichannel world through Multi-Channel Fulfillment (MCF) and Buy with Prime (BwP). This analyst will provide financial reporting, analysis, and process ownership across the monthly close cycle, weekly business reviews, goals rhythm, and corporate FP&A submissions. This role interacts regularly with the MCCF Finance leadership team, MCCF business leaders, ASCS Central FP&A, Corporate FP&A, and cross-functional partners in Product, Technology, and Operations.
Key job responsibilities
- Own the MCCF month-end close cycle end-to-end - including calendarization, coordination with business finance points of contact, template automation, monthly refresh of the MCCF management P&L and the Single Source of Truth for historical financials, first-pass variance commentary, and monthly close reporting to leadership.
- Own the MCCF section of the weekly finance business review - partnering with ASCS Central FP&A to align on reporting standards and deliver the MCCF weekly view.
- Own the MCCF goals rhythm () - including monthly goals reporting, pre-flight structural and style-guide review, contributor coordination, and quarterly S-Team and QBR goal updates.
- Own MCCF submissions to Corporate FP&A and WW Stores FP&A (in close coordination with the FP&A lead) - including OP1/OP2 templates, quarterly guidance inputs, and ad hoc requests.
- Own MCCF finance operational processes - including purchase order management, template maintenance, calendar and rhythm coordination, and other recurring finance operations.
- Serve as first responder for MCCF stakeholder ad hoc requests, escalating strategic or sensitive items appropriately.
- Drive continuous automation, AI adoption, and tool building across MCCF Finance - extending the team's existing AI-augmented workflows and identifying new opportunities to simplify, standardize, and automate FP&A processes.
BASIC QUALIFICATIONS
- 3+ years of tax, finance or a related analytical field experience
- Experience in financial modeling, P&L management or analysis
- Experience in creating process improvements with automation and analysis
- Experience using financial models, KPIs, and data analysis to support business decisions
PREFERRED QUALIFICATIONS
- MBA, or CPA
- Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, NY, New York - 73,600.00 - 128,800.00 USD annually
USA, WA, Seattle - 82,700.00 - 117,100.00 USD annually

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About Amazon

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Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate, computer and electronic product manufacturing and software development

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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