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Data Analyst , Merchandising Customer Insights

Job in Seattle, King County, Washington, 98127, USA
Listing for: Jobtailor
Full Time position
Listed on 2026-07-20
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist
Salary/Wage Range or Industry Benchmark: 90000 - 130000 USD Yearly USD 90000.00 130000.00 YEAR
Job Description & How to Apply Below
Position: Data Analyst 2, Merchandising Customer Insights

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
  • Responsible for delivering a suite of analytical products including analyses, dashboards, insights, and recommendations
  • Present the results to 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 collaboration with team members and business partners
Qualifications
  • Bachelor's Degree in a quantitative field (or equivalent experience)
  • 3+ 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 (Big Query preferred)
  • Strong problem solving skills
  • 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)
  • Ability to be flexible and work in a fast-paced and dynamic organization
  • Clear and effective written and verbal communication and strong interpersonal skills
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