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9 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): Building scalable analytics, reporting, and measurement solutions for Mattel’s direct-to-consumer ecommerce ecosystem with an accent on consumer behavior, marketing effectiveness, and predictive modeling. Focus on designing experiments, optimizing large-scale data workflows, mentoring analysts, and translating complex data into decisions for product, marketing, and merchandising.

Location: El Segundo, California, United States

Salary: $130,400–$163,000 annual

Company

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

What you will do

  • Design and execute advanced analyses of ecommerce performance, consumer behavior, and marketing effectiveness.
  • 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 teams on scalable pipelines, data models, and data architecture.
  • Build dashboards, interactive visualizations, and reporting solutions for DTC performance monitoring and executive decision-making.
  • Define measurement frameworks, lead A/B testing and experimentation, and analyze results to guide product and business strategy.
  • Lead high-impact analytics projects, mentor analysts, and partner with product, marketing, merchandising, and technology teams.

Requirements

  • Bachelor’s degree in statistics, mathematics, economics, computer science, engineering, or another quantitative discipline; a master’s degree is preferred.
  • At least 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 in Python or R, statistical analysis, regression, hypothesis testing, and A/B testing.
  • Experience with data visualization and BI tools such as Tableau, QuickSight, Looker, or similar platforms.
  • Experience with ecommerce, digital analytics, consumer analytics, or retail is strongly preferred.

Culture & Benefits

  • Collaborative, innovative, and performance-driven work environment.
  • Inclusive culture focused on belonging, respect, and equal opportunity.
  • Comprehensive benefits and competitive total pay programs.
  • Opportunities to contribute to products and experiences reaching consumers worldwide.

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