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Merchandise Data Analyst Jobs in Remote, OR (NOW HIRING)

Walmart

Store Supervisor

Coos Bay, OR ยท On-site

$65K - $100K/yr

... merchandise presentation seasonal transitions inventory flow and operational processes and ... data insights and analysis balances short and longterm priorities and considers our customers ...

Dream Golf

Host @ Bandon Dunes Golf Resort

Bandon, OR ยท On-site

Resort Discounts: Save on dining and merchandise throughout the resort. * Supportive Work ... If you would like more information about how your data is processed, please contact us. apply for ...

Dream Golf

Sous Chef @ Bandon Dunes Golf Resort

Bandon, OR ยท On-site

$47K - $64K/yr

Resort Discounts: Save on dining and merchandise throughout the resort. * Supportive Work ... If you would like more information about how your data is processed, please contact us. apply for ...

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Showing results 21-40

All JobsMerchandise Data Analyst JobsMerchandise Data Analyst Jobs in Remote, OR

Merchandise Data Analyst information

See Remote, OR salary details

$34K

$82.6K

$135.9K

How much do merchandise data analyst jobs pay per year?

As of Aug 7, 2026, the average yearly pay for merchandise data analyst in Remote, OR is $82,559.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,400.00 and $96,900.00 per year, depending on experience, location, and employer.

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 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.
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