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Nordstrom
Nordstrom
H1B Visa SponsoreCommerceFashionRetail
Nordstrom is a U.S.-based retailer operating across fashion, beauty, home, and eCommerce. Its assortment includes clothing, footwear, accessories, beauty products, and home goods from curated brands, supported by services such as personal styling, loyalty programs, online ordering, curbside pickup, and returns. The company’s work spans retail stores and digital shopping channels, with a focus on serving consumers seeking premium and mid-to-high-end merchandise through a connected shopping experience.
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Data Analyst 3, Merchandising Customer Insights – Seattle Hybrid

Analyze merchandising and customer data with SQL, Python or R, and statistical methods at Nordstrom. Build dashboards, develop recommendations, and communicate insights to retail stakeholders and executives.

USUnited StatesWAWashingtonHybridFull-timeMiddleSeniorEnglish RequiredData Analyst
BigQueryPythonSQLTableau

Description

  • Collaborate with stakeholders to define success measures and build measurement frameworks
  • Investigate complex business questions and assess merchandising performance through hypothesis testing
  • Create analytical deliverables, including analyses, dashboards, insights, and recommendations
  • Present findings to stakeholders and executives while promoting effective use of analytics
  • Develop and implement new metrics
  • Use data to identify strategic opportunities and improve business performance
  • Produce high-quality solutions and recommendations independently and in collaboration with others
  • Explain findings through clear, purposeful data storytelling for audiences with varying technical expertise
  • Balance competing stakeholder priorities in a fast-paced environment
  • Coach junior team members in analytics, storytelling, and communication practices
  • Help shape analytics Center of Excellence standards and best practices
  • Use advanced analytical and statistical methods to generate actionable insights

Requirements

  • Bachelor’s degree in a quantitative discipline or equivalent experience
  • At least five years of professional experience analyzing complex data, drawing conclusions, and developing recommendations
  • At least three years of experience extracting and transforming large datasets from relational databases with SQL; BigQuery experience is preferred
  • Strong problem-solving ability, including independently managing ambiguous projects and prioritizing work
  • Strong programming ability in at least one statistical or programming language; R or Python is preferred
  • Experience applying statistical and machine learning methods such as regression, classification, or clustering
  • Proficiency with visualization tools such as Shiny, ggplot, matplotlib, or Tableau
  • Ability to adapt and work effectively in a fast-paced, changing organization
  • Strong written, verbal, and interpersonal communication skills

Benefits

  • Medical, vision, dental, retirement, and paid time away
  • Life insurance and disability coverage
  • Merchandise discounts and employee assistance program resources
  • Performance-based incentives or bonuses may be available
  • 401(k)
  • Medical, vision, dental, life, and disability insurance options
  • Paid time off accruals
  • Paid holidays

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