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

Zumiez

Merchandise Financial Planner

Lynnwood, WA · On-site

$28.85 - $33.65/hr

Merchandise Financial Planner DEPARTMENT: Planning REPORTS TO: Apparel Planning Manager FLSA STATUS ... Strong data analysis skills and ability to use visualization tools such as Excel, SQL, and Power BI ...

Zumiez

Category Merchandiser

Lynnwood, WA · On-site

$35 - $38/hr

Strong data analysis and retail math skills, with the ability to translate sales performance and ... Zumiez merchandise discount * 401(k) plan after meeting eligibility requirements * Employee Stock ...

TekWissen LLC

Data Engineer III

Redmond, WA · On-site

$83/hr

It offers merchandise and content purchased for resale from vendors and those offered by thirdparty ... Analyze the production system data and derive insights into current bottlenecks and areas of ...

Zumiez

Associate Merchandise Financial Planner

Lynnwood, WA · On-site

$26.44 - $28.85/hr

Strong data analysis skills and ability to use visualization tools such as Excel, SQL, and Power BI ... Zumiez merchandise discount COMPENSATION FOR ROLE IN ADDITION TO BASE SALARY: * Bonus eligibility

Aston Carter

Merchandise Specialist

Seattle, WA · On-site

$25/hr

Experience with data entry and Excel data entry. * Basic math skills to support pricing, cost analysis, and inventory calculations. * Knowledge of merchandising and inventory control concepts.

Aston Carter

Merchandise Specialist

Seattle, WA · On-site

$25/hr

Experience with data entry and Excel data entry. * Basic math skills to support pricing, cost analysis, and inventory calculations. * Knowledge of merchandising and inventory control concepts.

Aston Carter

Merchandise Specialist

Seattle, WA

$23.12 - $25/hr

Experience with data entry and Excel data entry. * Basic math skills to support pricing, cost analysis, and inventory calculations. * Knowledge of merchandising and inventory control concepts.

Aston Carter

Merchandise Specialist

Seattle, WA

$23.12 - $25/hr

Experience with data entry and Excel data entry. * Basic math skills to support pricing, cost analysis, and inventory calculations. * Knowledge of merchandising and inventory control concepts.

Aston Carter

Merchandise Specialist

Seattle, WA · On-site

$25/hr

Experience with data entry and Excel data entry. * Basic math skills to support pricing, cost analysis, and inventory calculations. * Knowledge of merchandising and inventory control concepts.

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

Merchandise Data Analyst information

See Seattle, WA salary details

$38.7K

$94K

$154.8K

How much do merchandise data analyst jobs pay per year?

As of Aug 12, 2026, the average yearly pay for merchandise data analyst in Seattle, WA is $94,047.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,100.00 and $110,400.00 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.
What are popular job titles related to Merchandise Data Analyst jobs in Seattle, WA? For Merchandise Data Analyst jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Merchandise Data Analyst jobs in Seattle, WA look for? The top searched job categories for Merchandise Data Analyst jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Merchandise Data Analyst jobs? Cities near Seattle, WA with the most Merchandise Data Analyst job openings:
Merchandise Data Analyst jobs near you
Infographic showing various Merchandise Data Analyst job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $94,047 per year, or $45.2 per hour.

Senior Data Analyst, Media Data Science & Analytics (eCommerce)

Microsoft

Redmond, WA • On-site

$96K - $121K/yr

Full-time

Posted 6 days ago

Microsoft rating

8.5

Company rating: 8.5 out of 10

Based on 132 frontline employees who took The Breakroom Quiz

78th of 243 rated software companies

Job description

Overview
We're building a Frontier Marketing organization where the Media Data Science & Analytics team leads the way in transforming how Microsoft measures, analyzes, and optimizes media and digital experiences. Our team blends advanced analytics, experimentation, and AI-powered insights to drive smarter decision-making and measurable business outcomes across paid media and owned digital properties.
We operate with agility, prioritize outcomes over activity, and embrace rapid learning loops to unlock deeper audience understanding, maximize impact, and accelerate innovation in media and discovery strategy. To support this transformation, we are seeking a Senior Data Analyst, Media Data Science & Analytics (eCommerce) to serve as the analytical engine behind Microsoft's eCommerce business.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. Our culture embraces a growth mindset, collaboration, and inclusion, where everyone can thrive.
Responsibilities
  • Dashboards & Self-Serve Analytics - Build and maintain dashboards, reports, and self-serve analytics that give eCommerce, web, and marketing partners timely, accurate visibility into commerce performance across Microsoft's owned digital storefronts - so they can focus on acting on insights rather than wrangling data.

  • Funnel Measurement - Analyze the web and eCommerce journey - from acquisition and on-site engagement through sign-up, checkout, conversion, and revenue - connecting customer behavior to the durable business outcomes our partners own, such as gross adds, conversion, and revenue.

  • Deep-Dive Analysis - Investigate revenue, product and offer performance, customer behavior, and operational efficiency to surface actionable insights for partners, proactively bringing trends, anomalies, and opportunities forward without waiting to be asked.

  • Trustworthy Data Foundation - Integrate data from multiple sources and partner closely with Data Engineering, Finance, Web data teams, and other partners to define metrics, validate data quality, and ensure analytical outputs are built on a reliable, well-modeled, analytics-ready single source of truth.

  • Metric & Reporting Standards - Help establish consistent Key Performance Indicator (KPI) and metric definitions, reporting standards, and documentation practices that scale as the analytics function and its self-serve tools grow - so partner teams work from the same metrics language.

  • Performance Driver Analysis - Identify and quantify drivers of performance change - including product and offer launches, merchandising and promotional changes, technical factors, seasonal patterns, and external events - so partners know what's real and what to act on.

  • Experimentation - Support experimentation - such as A/B tests and web experience changes - to evaluate the impact of eCommerce improvements and give partners confidence in what to scale.

  • Work Smarter with AI - Leverage AI-assisted and agentic tools such as Microsoft Copilot to accelerate analysis, automate recurring reporting workflows, and move from manual, reactive reporting toward proactive, scalable insight that reaches partners faster.

  • Translate, Communicate & Partner - Turn ambiguous business questions into structured analytical frameworks, deliver clear findings to both technical and non-technical audiences through recurring readouts and deep-dive investigations, and collaborate cross-functionally with eCommerce, web experience, engineering, and marketing partners to prioritize improvements grounded in data.
  • Other - Embody our Culture and Values

Qualifications
Required/ minimum qualifications
  • Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 2+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis
    • OR Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 4+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis
    • OR equivalent experience.

Additional or preferred qualifications
  • Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 6+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis
    • OR Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 8+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis
    • OR equivalent experience.
  • Experience querying and analyzing large datasets using SQL. Experience integrating data from multiple sources and validating data quality.
  • Experience communicating analytical insights to stakeholders to inform decisions.
  • Experience measuring web or eCommerce performance - such as acquisition, engagement, conversion, or revenue.
  • Experience building dashboards or reusable reporting assets (e.g., Power BI).
  • Experience enabling stakeholders through self-serve analytics and reporting. Experience using Python or similar tools for analysis or automation.
  • Experience using Adobe Analytics or similar tools for measuring digital customer journeys.
  • Familiarity with experimentation or attribution concepts.
  • Experience using AI-assisted analytics tools (e.g., Microsoft Copilot) to accelerate analysis and automate reporting.
  • Experience establishing KPI or metric definitions, reporting standards, or documentation for a growing analytics function.

Data Analytics IC4 - The typical base pay range for this role across the U.S. is USD $106,400 - $203,600 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $137,600 - $222,600 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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About Microsoft

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Our infrastructure is comprised of a large global portfolio of more than 100 datacenters and 1 million servers. Our foundation is built upon and managed by a team of subject matter experts working to support services for more than 1 billion customers and 20 million businesses in over 90 countries worldwide. With environmental sustainability and optimization at the forefront of our datacenter design and operations, we continue to grow and evolve as we meet the ever-changing business demands that hold Microsoft as a world-class cloud provider.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Redmond, WA, US

Year founded

1975

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