✦ Luna Orbit — Data & Analytics

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

at Nordstrom

📍 Seattle, WA Hybrid 💰 $102K – $170K USD / year Posted March 13, 2026
Salary $102K – $170K USD / year
Type Not Specified
Experience mid
Exp. Years 5+ years
Education Bachelor's Degree in a quantitative field
Category Data & Analytics

This role involves analyzing customer insights, developing dashboards, and supporting operational decision-making through data storytelling and analytics.

  • Partner with stakeholders to define success
  • Dive deep into business problems
  • Deliver analytical products including dashboards
  • Present insights to executive stakeholders
  • Own definition and implementation of new metrics

Utilizes data analysis tools, visualization platforms like Tableau and Power BI, SQL, and statistical methods to generate actionable insights.

The ideal candidate is a mid-level data analyst with 5+ years of experience in data analysis, visualization, and storytelling. They possess strong analytical skills, experience with business metrics, and the ability to communicate insights effectively to stakeholders.

Bachelor's Degree in a quantitative field5+ years experienceData analysisStorytellingAnalytical skills
Data visualizationBusiness insightsOperational decision-making
ExcelTableauPower BISQLData Science tools
Data AnalysisData ScienceDashboardsStatistical PracticesHypothesis TestingStorytellingBusiness MetricsAnalytical Products
Data ScienceData AnalysisDashboardsStatistical PracticesHypothesis TestingStorytellingBusiness MetricsAnalytical Products
CommunicationCollaborationCuriosityProblem-solvingStorytelling
Industry Retail
Job Function Data analysis and insights generation for merchandising customer insights
Data AnalystData ScienceDashboardsStatistical PracticesHypothesis TestingStorytellingBusiness MetricsData AnalysisAnalytical ProductsData VisualizationSQLPower BITableauExcelBusiness Insights

Less than 5 years experience, Lack of experience in data analysis or storytelling, No experience with dashboards or statistical practices

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