22 часа назад
Manager, Data Analytics (Ecommerce)
130 400 - 157 000$
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 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
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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