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

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 ...

Utilize state-of-the-art systems to formulate in-depth inventory forecasts, manage and allocate inventory, or perform data analysis * Collaborate with internal teams such as Merchandise Planning ...

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 ...

By centralizing these workflows, AfterShip enables merchants to reduce customer support inquiries ... Govern reporting consistency and data integrity across HubSpot, Tableau, and the data warehouse ...

By centralizing these workflows, AfterShip enables merchants to reduce customer support inquiries ... Govern reporting consistency and data integrity across HubSpot, Tableau, and the data warehouse ...

By centralizing these workflows, AfterShip enables merchants to reduce customer support inquiries ... Govern reporting consistency and data integrity across HubSpot, Tableau, and the data warehouse ...

Lead, mentor and grow a team of data scientists, ML engineers and data analysts dedicated to Marketplace initiatives across seller lifecycle. * Partner with product, engineering, merchandising, and ...

Lead, mentor and grow a team of data scientists, ML engineers and data analysts dedicated to Marketplace initiatives across seller lifecycle. * Partner with product, engineering, merchandising, and ...

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Merchandise Data Analyst information

See Renton, WA salary details

$38.2K

$93K

$153K

How much do merchandise data analyst jobs pay per year?

As of Jun 19, 2026, the average yearly pay for merchandise data analyst in Renton, WA is $92,956.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,300.00 and $109,100.00 per year, depending on experience, location, and employer.

What does a merch analyst do?

A merchandise data analyst examines sales, inventory, and market data to identify trends and optimize product assortments. They use tools like Excel and data visualization software to support decision-making and improve sales performance within retail or e-commerce environments.

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 is the role of a merchandising data analyst?

A merchandising data analyst is responsible for collecting, analyzing, and interpreting sales and inventory data to optimize product assortment, pricing, and promotional strategies. They use tools like Excel, SQL, or data visualization software to support decision-making and improve retail performance.

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 jobs will boom in 2026?

The demand for data-related roles like Merchandise Data Analysts is expected to grow as companies increasingly rely on data analytics for decision-making. Other booming jobs include roles in technology such as cybersecurity specialists, AI and machine learning engineers, and data scientists, driven by advancements in digital transformation and automation. Skills in data management tools and programming languages like SQL, Python, and R will be valuable for these emerging opportunities.

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

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.

What jobs pay 200,000 a year in the USA?

In the USA, high-paying roles such as senior data analysts, data scientists, and certain managerial positions in retail or technology can reach or exceed $200,000 annually. These roles often require advanced skills, experience, and sometimes certifications, and may involve working in competitive or specialized environments.

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 job categories do people searching Merchandise Data Analyst jobs in Renton, WA look for? The top searched job categories for Merchandise Data Analyst jobs in Renton, WA are:
What cities near Renton, WA are hiring for Merchandise Data Analyst jobs? Cities near Renton, WA with the most Merchandise Data Analyst job openings:
Infographic showing various Merchandise Data Analyst job openings in Renton, WA as of June 2026, with employment types broken down into 2% Internship, 87% Full Time, and 11% Part Time. Highlights an 77% Physical, 7% Hybrid, and 16% Remote job distribution, with an average salary of $92,956 per year, or $44.7 per hour.
Data Analyst 3, Merchandising Customer Insights (Hybrid, Seattle)

Data Analyst 3, Merchandising Customer Insights (Hybrid, Seattle)

Nordstrom

Seattle, WA • On-site

$102K - $170K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Nordstrom rating

6.8

Company rating: 6.8 out of 10

Based on 417 frontline employees who took The Breakroom Quiz

4th of 21 rated department stores


Job description

Job Description

The Customer Insights & Analytics team strives to make Nordstrom the best data-driven fashion retailer among competitors, who wins by rigorous and thoughtful application of data science to unlock value for the enterprise. We focus on three business outcomes: more customers, happier customers, and more engaged customers

The Data Analyst 3 - Merchandising Customer Insights will be a key contributor on a squad of highly skilled data analysts focused on harmonizing customer insights through the lens of our product offer, supporting operational decision-making by category and division merchandising leaders. This individual will help grow and scale a new insights domain with focus areas that include competitive pricing and promotions, category and brand insights, and supporting category planning.

Success in this role comes from being an effective partner to merch leaders, storytelling for internal decision-making and to Nordstrom's brand partners, and the ability to create connective tissue between the Nordstrom Merchandising Group (including Nordstrom Product Group), Digital Merchandising, and Marketing. They must have a high degree of curiosity about the business, the skills to discover impactful insights from data, and the ability to communicate those insights in a way that builds confidence and drives business value. This individual should have working knowledge of the business and ability to partner with operational leadership in helping customers feel good and look their best across our four boxes: Nordstrom Stores, Nordstrom.com, Rack Stores, and NordstromRack.com.

A Day in the Life...

  • Partner with key stakeholders to define success and develop measurement frameworks
  • Dive deep into complex business problems and provide insights on merch performance through hypothesis testing
  • Responsible for delivering a suite of analytical products include analyses, dashboards, insights, and recommendations.
  • Present the results to the stakeholders up to executive level and guide them to make the best use of analytics in their domain.
  • Own the definition and implementation of new metrics.
  • Find opportunities to use data to develop new strategies and improve overall performance.
  • Deliver high quality solutions and recommendations to a variety of problems both independently and through the collaboration with team members and business partners to
  • Bring data to life through storytelling in a clear and meaningful way to audiences with mixed levels of technical expertise.
  • Reconcile divergent demands from multiple stakeholders in a fast-paced work environment.
  • Mentor more junior team members on analytics, storytelling and communication best practices.
  • Influence and support the Center of Excellence standards and best practices of analytics.
  • Use advanced analytical and statistical practices to create thorough and actionable insights.

You own this if...

  • Bachelor's Degree in a quantitative field (or equivalent experience)
  • 5+ years of professional experience analyzing complex data, drawing conclusions, and making recommendations.
  • 3+ years of experience in extracting & manipulating large data sets from various relational databases using SQL (BigQuery preferred).
  • Strong problem solving skills - Is able to complete ambiguous projects independently & plan out the priority order of tasks; find the right resources to complete the tasks and make smart decisions regarding trade-offs.
  • Strong coding skills in at least one statistical or programming language (R or Python preferred) to import, summarize, and analyze data.
  • Experience with statistical and machine learning algorithms (e.g. regression, classification and/or clustering). Proficiency with graphics/visualization software (e.g. Shiny, ggplot, matplotlib, Tableau).
  • Ability to be flexible and work in a fast-paced and dynamic organization
  • Clear and effective written and verbal communication and strong interpersonal skills

Pay Range Details


The pay range(s) below has been provided in compliance with state specific laws. Pay ranges may be different for other locations.
Pay offers are dependent on the location, as well as job-related knowledge, skills, and experience.

$102,500.00 - $170,500.00 Annual

We've got you covered...


Our employees are our most important asset and that's reflected in our benefits.Nordstrom is proud to offer a variety of benefits to support employees and their families, including:

  • Medical/Vision, Dental, Retirement and Paid Time Away
  • Life Insurance and Disability
  • Merchandise Discount and EAP Resources

This position may be eligible for performance-based incentives/bonuses. Benefits include 401k, medical/vision/dental/life/disability insurance options, PTO accruals, Holidays, and more. Eligibility requirements may apply based on location, job level, classification, and length of employment. Learn more in the Nordstrom Benefits Overview by copying and pasting the following URL into your browser: https://careers.nordstrom.com/pdfs/Ben_Overview_17-19.pdf

A few more important points...


The job posting highlights the most critical responsibilities and requirements of the job. It's not all-inclusive. There may be additional duties, responsibilities and qualifications for this job.


For Los Angeles or San Francisco applicants: Nordstrom is required to inform you that we conduct background checks after conditional offer and consider qualified applicants with criminal histories in a manner consistent with legal requirements per Los Angeles, Cal. Muni. Code 189.04 and the San Francisco Fair Chance Ordinance. For additional state and location specific notices, please refer to the Legal Notices document within the FAQ section of the Nordstrom Careers site.


Applicants with disabilities who require assistance or accommodation should contact the nearest Nordstrom location, which can be identified atwww.nordstrom.com.


Please be mindful that there may be legal notices and requirements related to this job posting that are specific to your state. Review the Career Site FAQ's for relevant information and guidelines.

Current Nordstrom employees: To apply, log into Workday, click the Careers button and then click Find Jobs.

Nordstrom keeps job postings open for at least one day after the posting date.

2026 Nordstrom, Inc

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