Назад
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4 дня назад

Data Analyst 3, Merchandising Customer Insights

102 500 - 170 500$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Analyst 3, Merchandising Customer Insights (SQL/BigQuery, Python/R): Developing customer and merchandising analytics, dashboards, metrics, and recommendations to support category and division merchandising leaders with an accent on competitive pricing, promotions, category insights, and brand performance. Focus on hypothesis testing, applying statistical and machine learning algorithms, presenting insights to executive stakeholders, and mentoring junior analysts.

Location: Hybrid, Seattle, Washington, United States

Salary: $102,500–$170,500 annual

Company

hirify.global is a data-driven fashion retailer operating stores and digital commerce channels.

What you will do

  • Partner with merchandising and business stakeholders to define success metrics and measurement frameworks.
  • Analyze complex merchandising and customer data through hypothesis testing and advanced statistical methods.
  • Deliver analytical products including analyses, dashboards, insights, metrics, and recommendations.
  • Present findings to stakeholders, including executives, and translate analytics into business decisions.
  • Identify data-driven strategies to improve performance across hirify.global Stores, hirify.global.com, Rack Stores, and hirify.globalRack.com.
  • Mentor junior analysts and contribute to analytics standards and best practices.

Requirements

  • Bachelor’s degree in a quantitative field or equivalent experience.
  • 5+ years of professional experience analyzing complex data and making recommendations.
  • 3+ years of experience extracting and manipulating large datasets from relational databases using SQL; BigQuery is preferred.
  • Strong coding skills in at least one statistical or programming language, with R or Python preferred.
  • Experience with statistical and machine learning algorithms such as regression, classification, or clustering.
  • Experience with visualization tools such as Shiny, ggplot, matplotlib, or Tableau, plus strong communication and problem-solving skills.

Culture & Benefits

  • Hybrid work in Seattle within a fast-paced and dynamic organization.
  • Medical, vision, dental, retirement, and paid time away benefits.
  • Life insurance, disability coverage, merchandise discounts, and EAP resources.
  • Potential eligibility for performance-based incentives and bonuses.

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