Data Analyst 2, Merchandising Customer Insights (Hybrid, Seattle)

Nordstrom

Hybrid

Quick summary

Work type
Hybrid
Location
Seattle, WA
Salary
$87,500–$145,500 / yr
Posted
1 day ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $162k
This role $116k
$74k most similar roles pay here $211k

This role pays less than 88% of similar roles. Most pay $126,800–$197,940 — the shaded band above. At the midpoint, this role pays about $116k versus about $162k for comparable roles.

Based on 238 similar postings.

Employer

About Nordstrom

Nordstrom is a leading American luxury department store chain offering a wide selection of clothing, shoes, accessories, and beauty products through its stores, Nordstrom Rack outlets, and online. Industry: Luxury Department Store Retail

Nordstrom currently has 26 open roles on FindRole.

Listed pay typically runs $142,000–$220,500 across 26 roles with salary data.

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At a glance

TL;DR · Data Analyst 2, Merchandising Customer Insights (Hybrid, Seattle)

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The Data Analyst 2 role within Nordstrom's Customer Insights & Analytics team focuses on leveraging data science to enhance customer engagement and satisfaction across various merchandising categories. This position involves collaborating with merchandising leaders to develop measurement frameworks, conduct hypothesis testing, and deliver actionable insights through advanced analytics and storytelling. Key responsibilities include creating dashboards, presenting findings to executives, and mentoring junior analysts while adhering to Center of Excellence standards. The ideal candidate has a quantitative background and at least three years of experience in data analysis, SQL (BigQuery preferred), Python or R for statistical modeling, and proficiency with visualization tools like Tableau. This role demands strong problem-solving skills, flexibility, and the ability to communicate effectively across technical and non-technical audiences within Nordstrom's expansive retail ecosystem.

Skills

SQL BigQuery R Python Tableau ggplot matplotlib Shiny AWS CI/CD Git Jupyter Notebook Docker Kubernetes Terraform Prometheus Grafana

What you'll do

  • Define success metrics and develop measurement frameworks for merchandising insights.
  • Provide actionable insights on merch performance through hypothesis testing and analysis.
  • Deliver analytical products such as dashboards, reports, and recommendations to stakeholders.
  • Present complex data findings to executive-level leaders and guide decision-making.
  • Identify and implement new metrics to enhance operational effectiveness and strategy.
  • Mentor junior team members in analytics, storytelling, and communication practices.

What we're looking for

  • 3+ years of professional experience in complex data analysis and recommendation making.
  • Strong proficiency in SQL for extracting and manipulating large datasets from relational databases.
  • Expertise in at least one statistical or programming language (R, Python) for data import, summary, and analysis.
  • Experience with statistical and machine learning algorithms such as regression, classification, and clustering.
  • Proficiency in graphics/visualization software like Shiny, ggplot, matplotlib, or Tableau.
  • Ability to work independently on ambiguous projects with strong problem-solving skills.

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