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Merchandise Data Analyst Jobs in Springdale, AR (NOW HIRING)

Jobtailor

Principal Data Analyst

Bentonville, AR · On-site

$90 - $140/hr

* Lead Consumer Research Partner with merchants and product developers to define business questions ... Option 3: 6 years' experience in data analysis, data science, statistics, or related field * Strong ...

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All JobsMerchandise Data Analyst JobsMerchandise Data Analyst Jobs in Springdale, AR

Merchandise Data Analyst information

See Springdale, AR salary details

$30.1K

$73.1K

$120.3K

How much do merchandise data analyst jobs pay per year?

As of Aug 22, 2026, the average yearly pay for merchandise data analyst in Springdale, AR is $73,082.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,300.00 and $85,800.00 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 Springdale, AR?

For Merchandise Data Analyst jobs in Springdale, AR, the most frequently searched job titles are:

What job categories do people searching Merchandise Data Analyst jobs in Springdale, AR look for?

The top searched job categories for Merchandise Data Analyst jobs in Springdale, AR are:

What cities near Springdale, AR are hiring for Merchandise Data Analyst jobs?

Cities near Springdale, AR with the most Merchandise Data Analyst job openings:

Merchandise Data Analyst jobs near you
Infographic showing various Merchandise Data Analyst job openings in Springdale, AR as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $73,082 per year, or $35.1 per hour.

Principal Data Analyst

Jobtailor

Bentonville, AR • On-site

$90 - $140/hr

Other

Posted 6 days ago

Job description

  • Lead Consumer Research Partner with merchants and product developers to define business questions and research objectives
  • Select the most appropriate qualitative and quantitative methodologies to answer complex business challenges
  • Independently design, program, execute, analyze, and report consumer research studies
  • Ensure research quality through strong research design, questionnaire development, sampling, and statistical rigor
  • Apply Advanced Consumer Research Methodologies
  • Independently analyze and interpret statistical outputs and translate findings into actionable business recommendations
  • Build compelling, executive-ready stories that simplify complex research into strategic recommendations
  • Present findings to merchants, product developers, and senior leadership
  • Leverage AI and emerging technologies to improve research quality, efficiency, and speed-to-insight
  • Champion the voice of the Member across the product development lifecycle
Requirements
  • Option 1: Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field and 4 years' experience in data analysis, data science, statistics, or related field
  • Option 2: Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in data analysis, data science, statistics, or related field
  • Option 3: 6 years' experience in data analysis, data science, statistics, or related field
  • Strong business acumen with curiosity about Members, merchandising, and consumer behavior
  • Experience leading end-to-end consumer insights or market research
  • Expertise in qualitative and quantitative research with the ability to apply the right methodology
  • Ability to synthesize data into strategic business recommendations
  • Exceptional communication, executive presentation, and stakeholder management skills
  • Experience influencing without authority and managing multiple priorities
  • Proficiency with AI tools, Excel, PowerPoint, and consumer research platforms
Core Competencies

Demonstrates expertise in consumer research methodologies, data analysis, and statistical interpretation to drive strategic business recommendations. Proficient in leveraging AI tools and consumer research platforms to enhance research quality and efficiency.

Highest-signal resume keywords
  • Consumer Research Methodologies
  • Data Analysis
  • Statistical Interpretation
  • Executive Presentation Skills
  • AI Tools Proficiency
ATS Optimization Keywords Hard Skills
  • Data Analysis
  • Statistics
  • Qualitative Research
  • Quantitative Research
  • Research Design
  • Questionnaire Development
  • Sampling Techniques
  • Statistical Rigor
  • Market Research
  • Consumer Insights
Soft Skills
  • Exceptional Communication
  • Stakeholder Management
  • Influencing Without Authority
  • Curiosity About Members
  • Managing Multiple Priorities
Industry Keywords
  • Business Acumen
  • Consumer Behavior
  • Product Development Lifecycle
  • Strategic Recommendations
Tools & Technologies
  • AI Tools
  • Excel
  • PowerPoint
  • Consumer Research Platforms
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