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8 дней назад

Manager Data Analytics (Ecommerce)

130 400 - 163 000$
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): Designing advanced analytics, predictive models, dashboards, and measurement frameworks for Mattel’s global direct-to-consumer ecommerce ecosystem with an accent on consumer behavior, marketing effectiveness, experimentation, and scalable data solutions. Focus on leading complex analyses, optimizing large-scale SQL data workflows, mentoring analysts, and translating statistical findings into ecommerce and product strategy.

Location: El Segundo, California, United States

Salary: $130,400–$163,000 annually

Company

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

What you will do

  • Lead complex analytics initiatives supporting direct-to-consumer ecommerce growth and digital transformation.
  • Design statistical analyses, predictive models, experiments, and measurement frameworks for consumer behavior, marketing effectiveness, and product performance.
  • Build scalable dashboards, reporting solutions, interactive visualizations, and data products for business stakeholders and executives.
  • Write optimized SQL queries across large-scale relational and cloud data platforms.
  • Partner with data engineering, product, marketing, merchandising, and technology teams on data pipelines, models, governance, and analytics architecture.
  • Mentor analysts and establish best practices for analytics development, experimentation, and data storytelling.

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.
  • Strong proficiency with Python or R for statistical analysis, data processing, and modeling.
  • Experience with cloud data platforms such as Redshift, BigQuery, Snowflake, or Athena, and BI tools such as Tableau, QuickSight, or Looker.
  • Strong understanding of statistical analysis, regression, hypothesis testing, A/B testing, ecommerce metrics, and marketing performance.

Nice to have

  • Experience in ecommerce, digital analytics, consumer analytics, or retail.
  • Familiarity with Google Analytics or Adobe Analytics.
  • Experience with machine learning methods and domain-specific analytical models.

Culture & Benefits

  • Inclusive workplace focused on belonging, respect, and collaboration.
  • Purpose-driven environment centered on empowering generations through play.
  • Performance-oriented culture emphasizing innovation, execution, accountability, and ownership.
  • Competitive total pay programs, comprehensive benefits, and employee development resources.

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