✦ Luna Orbit — Data & Analytics

Data Analyst 2, Stores & Finance (Hybrid, Seattle)

at Nordstrom

📍 Seattle, WA Hybrid 💰 $87K – $145K USD / year Posted March 27, 2026
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Position Details

Salary $87K – $145K USD / year
Type Full-Time
Experience mid
Exp. Years 2+ years
Education Bachelor's degree in a quantitative field or equivalent experience
Category Data & Analytics

About this role

This role involves analyzing store and finance data to generate insights that support store openings, customer experience, and strategic planning.

Key Responsibilities

  • Partner with store teams
  • Create data visualizations
  • Analyze store data
  • Support strategic decisions
  • Transform data into insights

Technical Overview

The technical scope includes data analysis, statistical modeling, visualization with Tableau or Power BI, and proficiency in SQL and Python.

Ideal Candidate

The ideal candidate is a data analyst with 2+ years of experience in data analysis, statistics, and visualization tools like Tableau or Power BI. They should be curious, creative, and able to communicate insights effectively to support store and finance decisions.

Must-Have Skills

Data analysisStatisticsSQLPythonData visualization

Nice-to-Have Skills

Machine learningData modelingBusiness intelligenceDashboard developmentR

Tools & Platforms

SQLPythonRTableauPower BIExcel

Required Skills

Data analysisStatisticsSQLPythonData visualizationMachine learningData modelingBusiness intelligenceDashboard development

Hard Skills

Data analysisStatisticsData visualizationSQLPythonRData modelingMachine learningBusiness intelligenceDashboard development

Soft Skills

creativitycuriositycommunicationproblem-solvingcollaboration

Industry & Role

Industry Retail / Fashion / E-commerce
Job Function Data analysis and insights generation for store and finance optimization
Role Subtype Data Analyst
Tech Domains SQL, Python, R, Tableau, Power BI

Keywords for Your Resume

data analysisstatisticssqlpythondata visualizationmachine learningdata modelingbusiness intelligencedashboardtableaupower biexcel

Deal Breakers

Lack of experience with SQL or Python, No experience in data visualization tools, Unable to work in hybrid schedule, No background in retail or store analytics

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