обновлено 4 дня назад
Manager, Data Analytics (Ecommerce)
130 400 - 163 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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