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11 часов назад

Senior Analyst, eCommerce Business Analytics

89 800 - 112 200$
Формат работы
remote (только USA)
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 Analyst, eCommerce Business Analytics (eCommerce/Data Analytics): Analyzing eCommerce business health, developing performance diagnostics, and integrating analytical projects into business operations with an accent on reporting, cross-functional collaboration, and data-driven decision-making. Focus on improving manual monitoring processes, documenting repeatable analyses, and recommending system modifications and data governance policies.

Location: Virtual, USA

Base salary: $89,800–$112,200 annually, plus eligibility for a performance-based bonus.

Company

hirify.global is a consumer packaged goods company with an eCommerce and Customer Marketing organization.

What you will do

  • Analyze overall business health and identify performance correlations and trends.
  • Develop and communicate diagnostics that support business health initiatives and planning.
  • Improve manual reporting and monitoring processes to drive market performance.
  • Participate in cross-functional continuous improvement projects across eCommerce analytics.
  • Create documentation and training materials so stakeholders can understand and replicate analytical processes.
  • Collaborate with sales, marketing, engineers, and organizational leaders on process improvements, system modifications, and data governance policies.

Requirements

  • 3+ years of experience in data science, analytics, strategy, or a related field.
  • Advanced Excel skills and the ability to create complex reports using multiple datasets.
  • Strong communication, project management, collaboration, and influencing skills.
  • Ability to work independently, manage projects end to end, and communicate data-driven insights effectively.
  • Strategic thinking and comfort working with unstructured data.
  • Technical proficiency in SQL, R, or Python is preferred.

Nice to have

  • Experience in the consumer packaged goods industry.

Culture & Benefits

  • Flexible rewards and benefits programs supporting employees and eligible dependents.
  • Healthcare coverage, including medical, prescription drug, dental, and vision plans.
  • Paid time off, company holidays, leave programs, flexible work arrangements, and training opportunities.
  • 401(k), life insurance, accidental death and dismemberment, and disability benefits.
  • Wellbeing resources, employee assistance, family support, and learning opportunities.

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