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1 день назад

Senior Retail Analyst

93 400 - 120 120$
Формат работы
onsite
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
Senior Retail Analyst (Retail Analytics): Analyzing business and customer data for brick-and-mortar retail stores with an accent on forecasting, KPI development, operational performance, and actionable business insights. Focus on building machine learning models, detecting operational anomalies, creating measurement frameworks and dashboards, and translating complex analysis into recommendations for senior leadership.

Location: Onsite in Carlsbad, California, USA

Salary: USD 93,400–120,120 per year; bonus eligible

Company

hirify.global creates athletic apparel designed for performance and everyday wear, inspired by an active coastal California lifestyle.

What you will do

  • Analyze retail business and customer data to support recurring and ad hoc performance reviews.
  • Manage store forecasting processes and improve data inputs, outputs, parameters, and assumptions.
  • Analyze labor, shipments, returns, and other operational processes to detect anomalies and identify optimization opportunities.
  • Deliver insights and recommendations on product performance, consumer behavior, marketing effectiveness, real estate selection, and pricing.
  • Define success metrics and measurement frameworks, and create dashboards and visualizations to track performance.
  • Collaborate with retail, real estate, finance, data engineering, and analytics stakeholders while advancing analytical techniques and technologies.

Requirements

  • 4+ years of experience conducting in-depth business analysis and delivering actionable insights to operational partners and business leaders.
  • Bachelor’s degree in business analytics or equivalent experience.
  • Experience with advanced analytics, including machine learning models, regression, clustering, decision trees, cohort and segmentation analysis, forecasting, and experimentation analysis.
  • Technical proficiency in data extraction and transformation using query and coding languages, plus experience with data visualization and presentation tools.
  • Ability to define measurement frameworks, communicate complex analysis to non-technical stakeholders, and present clear hypotheses, insights, and recommendations.
  • Strong collaboration, analytical thinking, curiosity, and experience working across large organizations, preferably in retail.

Culture & Benefits

  • Health insurance.
  • Savings and retirement plan.
  • Employee assistance program.
  • Employee discounts and industry perks.
  • Paid time off.
  • Wellness and fitness benefits.

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