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Mattel

Global toy and family entertainment company.

Manager Data Analytics

Data ScienceConfirmed live in the last 24 hours
Full-timeEl Segundo, CA, USA$130.4k - $163k /yrIn-person

About the Job

Requirements

  • A bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Engineering, or another quantitative discipline is required; a master's degree is preferred.
  • At least 8 years of experience in analytics, business intelligence, data science, or a related field.
  • Experience leading complex analytics projects and influencing business decisions through data.
  • Advanced proficiency in SQL and experience working with large-scale relational datasets.
  • Experience working 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 data visualization and business intelligence tools such as Tableau, QuickSight, Looker, or similar platforms.
  • Strong understanding of statistical analysis and experimentation, including hypothesis testing, regression analysis, and A/B testing.
  • Familiarity with digital analytics platforms such as Google Analytics or Adobe Analytics.
  • Strong understanding of ecommerce and marketing performance metrics, including conversion rate, customer acquisition, demand and net sales, contribution margin, customer lifetime value, and retention and engagement metrics.
  • Ability to translate complex data into clear insights and recommendations that influence business strategy.
  • Demonstrated ability to structure ambiguous business problems into actionable analytical approaches.

Responsibilities

  • Design and execute complex analyses using statistical and computational methods to evaluate ecommerce performance, consumer behavior, and marketing effectiveness.
  • Apply advanced statistical techniques such as regression analysis, hypothesis testing, causal inference, and experimental design to evaluate business initiatives and product changes.
  • Develop predictive and descriptive models to estimate outcomes such as consumer lifetime value, purchase propensity, churn risk, and campaign performance.
  • Prototype and evaluate advanced analytical approaches, including machine learning methods and domain-specific models where appropriate.
  • Write highly optimized SQL queries to extract, transform, and analyze large-scale datasets across multiple relational databases and cloud data platforms.
  • Partner with data engineering teams to design and improve scalable data pipelines, data models, and data structures that support analytics and reporting needs.
  • Ensure data integrity, consistency, and accuracy across DTC data sources, including ecommerce platforms, digital analytics, CRM, marketing systems, and operational data.
  • Contribute to improvements in data architecture, analytics workflows, and data governance practices that enable reliable and scalable analysis.
  • Design and build scalable dashboards and reporting solutions that enable stakeholders to monitor key DTC performance metrics and identify opportunities for growth.
  • Develop interactive visualizations and data products that communicate complex analytical results clearly and effectively.
  • Establish visualization standards and best practices that ensure clarity, consistency, and actionable storytelling across analytics outputs.
  • Deliver insights through compelling data storytelling that supports executive decision-making.
  • Define measurement frameworks and key performance indicators for ecommerce initiatives, digital marketing campaigns, and consumer engagement programs.
  • Lead experimentation initiatives, including A/B testing and experimental design, to evaluate product features, merchandising strategies, and marketing initiatives.
  • Analyze and interpret experimental results to provide clear recommendations and guide product and business strategy.
  • Develop standardized approaches for measuring funnel performance, customer journeys, and consumer lifecycle behavior.
  • Lead high-impact analytics projects that support Mattel’s Direct-to-Consumer ecommerce strategy and digital transformation.
  • Translate complex business questions into structured analytical approaches and technical solutions.
  • Mentor analysts on advanced analytical methods, coding standards, and best practices in analytics development.
  • Partner with product, marketing, merchandising, and technology teams to embed data-driven decision-making across the organization.

Desired Qualifications

  • Prior experience in ecommerce, digital analytics, consumer analytics, or retail environments is strongly preferred.

About the Company

Mattel

Global toy and family entertainment company.

Mattel is a global play and family entertainment company that owns iconic brands such as Barbie, Hot Wheels, Fisher-Price, and UNO, offering toys, content, consumer products, digital experiences, and live events. Its products come to life through brands and franchises that create physical toys, media content, and themed experiences, often via owned properties or licensed partnerships with entertainment companies. Mattel stands out with a diversified catalog of enduring franchises and cross-category play experiences that combine toys with media and consumer products. Its goal is to empower generations to explore the wonder of childhood and reach their full potential by treating play as a key path to the future, engaging consumers through authentic franchise brands and immersive experiences.

Company size
10,001+
Company stage
IPO
Headquarters
El Segundo, CA
Founded
1945

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