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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Средняя
$130к-163к/год
$130к$140кмедиана$150к
По похожим ролям (50) ~ $140к/год
На СНГ рынке: $3.6к/мес ($2.9к - $4.3к)
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Чётко описанная senior-позиция в известной международной компании с зарплатой около медианы рынка и актуальным набором инструментов. Задач много - от моделирования и экспериментов до отчётности и наставничества, но они связаны с аналитикой электронной коммерции.
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Широкий круг задачАктуальный стекЗарплата по рынкуИзвестная компания
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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