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Manager, Data Analytics (Ecommerce)

130 400 - 163 000$
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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TL;DR
Manager, Data Analytics (Ecommerce): Building scalable analytics, reporting, and measurement solutions for Mattel’s global direct-to-consumer ecommerce ecosystem with an accent on consumer behavior, marketing effectiveness, experimentation, and predictive modeling. Focus on designing advanced statistical analyses, optimizing large-scale data workflows, and mentoring analysts while translating complex data 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 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 advanced analyses and predictive models for ecommerce performance, consumer behavior, marketing effectiveness, lifetime value, purchase propensity, churn risk, and campaign performance.
  • Write optimized SQL queries and collaborate with data engineering teams on scalable pipelines, data models, data architecture, and data governance.
  • Build dashboards, reporting solutions, interactive visualizations, and data products for performance monitoring and executive decision-making.
  • Define measurement frameworks and lead A/B testing, experimentation, funnel analysis, and customer lifecycle analysis.
  • Translate business questions into analytical solutions, partner with product, marketing, merchandising, and technology teams, and mentor analysts.

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 proficiency and experience working with large-scale relational datasets.
  • Experience with 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 BI and digital analytics tools, plus statistical analysis and experimentation including hypothesis testing, regression analysis, and A/B testing.

Culture & Benefits

  • Purpose-driven environment focused on empowering generations through play.
  • Collaborative culture with shared values and cross-functional partnership.
  • Emphasis on innovation, accountability, ownership, and high-quality execution.
  • Competitive total pay programs and comprehensive employee benefits.
  • Inclusive workplace committed to belonging and equal opportunity.

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