Назад
Company hidden
10 дней назад

Data Analyst 3, Merchandising Customer Insights

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/Python/R): Developing customer and merchandising insights through analytical products, dashboards, metrics, and recommendations with an accent on competitive pricing, promotions, category performance, and brand insights. Focus on hypothesis testing, advanced statistical and machine learning analysis, executive storytelling, and connecting merchandising, digital, and marketing decisions.

Location: Hybrid in Seattle, Washington, United States

Company

hirify.global is a fashion retailer focused on using data and customer insights to improve its stores, digital properties, and merchandising operations.

What you will do

  • Partner with merchandising stakeholders to define success measures and develop measurement frameworks.
  • Analyze complex business problems and evaluate merchandising performance through hypothesis testing.
  • Build analytical products, including analyses, dashboards, insights, recommendations, and new metrics.
  • Present findings to stakeholders, including executives, and support data-informed decisions.
  • Develop strategies and performance improvements using data, advanced analytics, and statistical methods.
  • 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.
  • Strong problem-solving, communication, collaboration, and stakeholder-management skills.

Nice to have

  • Experience with Shiny, ggplot, matplotlib, Tableau, or similar visualization tools.
  • Knowledge of merchandising, category planning, competitive pricing, promotions, or brand insights.

Culture & Benefits

  • Fast-paced and dynamic work environment with cross-functional collaboration.
  • Medical, vision, dental, retirement, and paid time-away benefits.
  • Life insurance, disability coverage, merchandise discount, and employee assistance resources.
  • 401(k), holidays, PTO accruals, and possible performance-based incentives or bonuses.

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