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22 часа назад

Manager, Data Analytics (Ecommerce)

130 400 - 157 000$
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

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TL;DR
Manager, Data Analytics (Ecommerce): Building scalable analytics, reporting, and measurement solutions for Mattel’s direct-to-consumer ecommerce ecosystem with an accent on consumer behavior, marketing effectiveness, and experimentation. Focus on designing predictive models, optimizing large-scale SQL analyses and data pipelines, and translating A/B testing and performance results into business strategy.

Location: El Segundo, California, United States

Salary: USD 130,400–157,000 yearly

Company

hirify.global is a global toy and family entertainment company creating toys, content, consumer products, and digital experiences across a portfolio of well-known brands.

What you will do

  • Lead complex analytics initiatives supporting direct-to-consumer ecommerce growth and digital transformation.
  • Analyze ecommerce performance, consumer behavior, and marketing effectiveness using statistical and computational methods.
  • Develop predictive and descriptive models for customer lifetime value, purchase propensity, churn risk, and campaign performance.
  • Write optimized SQL queries and collaborate with data engineering on scalable pipelines, data models, data architecture, and governance.
  • Build dashboards, interactive visualizations, and reporting solutions that support executive decision-making.
  • Define KPIs, lead A/B testing and experimentation, interpret results, and mentor analysts on advanced methods and best practices.

Requirements

  • Bachelor’s degree in statistics, mathematics, economics, computer science, engineering, or another quantitative discipline; a master’s degree is preferred.
  • 8+ years of experience in analytics, business intelligence, data science, or a related field.
  • Advanced SQL skills and experience working with large-scale relational datasets and cloud data platforms such as Redshift, BigQuery, Snowflake, or Athena.
  • Strong proficiency with Python or R for statistical analysis, data processing, and modeling.
  • Experience with data visualization and BI tools such as Tableau, QuickSight, Looker, or similar platforms.
  • Strong knowledge of statistical analysis, experimentation, hypothesis testing, regression analysis, A/B testing, and digital analytics platforms.

Nice to have

  • Experience in ecommerce, digital analytics, consumer analytics, or retail.
  • Master’s degree in a quantitative discipline.

Culture & Benefits

  • Inclusive workplace focused on respect, belonging, and enabling employees to do their best work.
  • Culture centered on collaboration, innovation, accountability, and ownership.
  • Competitive total pay programs, comprehensive benefits, and resources supporting employee development and well-being.
  • Opportunity to contribute to global brands and direct-to-consumer digital experiences.

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