Data Analyst 3, Merchandising Customer Insights

Brobston Group; Seattle (WA); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

401k

Medical/dental/vision

Merchandise discount

Paid time off

Job summary

Nordstrom is seeking a Data Analyst 3 in Merchandising Customer Insights to harmonize customer insights for decision-making across Nordstrom Stores, Nordstrom.com, Rack Stores, and NordstromRack.com.

You will partner with merchandising leaders to deliver analyses, dashboards, and insights, translating data into actionable business recommendations and metrics that drive performance.

Qualifications

• Bachelor's degree in a quantitative field or equivalent experience.
• 5+ years of professional experience analyzing complex data and making recommendations.
• 3+ years extracting & manipulating large data sets from various relational databases using SQL (BigQuery preferred).
• Strong coding skills in at least one statistical or programming language (R or Python preferred).
• 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).

Responsibilities

• 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.
• Deliver a suite of analytical products including analyses, dashboards, insights, and recommendations.
• Present results to stakeholders up to executive level and guide analytics use in their domain.
• Own the definition and implementation of new metrics.
• Identify opportunities to use data to develop new strategies and improve performance.
• Deliver high quality solutions and recommendations to a variety of problems independently and with team collaboration.
• Tell data stories clearly to audiences with mixed technical expertise.
• Reconcile divergent stakeholder demands in a fast-paced environment.
• Mentor junior team members on analytics, storytelling and communication best practices.
• Influence Center of Excellence standards and best practices of analytics.
• Use advanced analytical and statistical methods to derive actionable insights.

Skills

SQL

R

Python

Statistics

Machine Learning

Data Visualization

Education

Bachelor's degree in a quantitative field

Tools

Tableau

BigQuery

Shiny

ggplot

matplotlib

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.

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 at www.nordstrom.com (http://www.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 (https://careers.nordstrom.com/#/contact-us/faq) for relevant information and guidelines.

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

© 2026 Nordstrom, Inc