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Manager, Data Analytics

Job in El Segundo, Los Angeles County, California, 90245, USA
Listing for: Mattel
Full Time position
Listed on 2026-05-18
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Business Systems/ Tech Analyst, Data Warehousing
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Opportunity

The Manager, Data Analytics plays a critical role within Mattel’s DTC Consumer Data & Analytics team. This role sits at the intersection of analytics, technology, and business strategy—partnering with stakeholders across ecommerce, digital marketing, product, merchandising, and technology to transform data into actionable insights.

As a leader on the analytics team, you will drive complex analytical initiatives, guide measurement strategy, and develop scalable reporting and analytical solutions that help the organization understand consumer behavior, optimize performance, and identify opportunities for growth. You will also mentor analysts on the team, establish best practices in analytics and experimentation, and help shape the evolving analytics strategy supporting Mattel’s global DTC ecosystem.

Impact

Will Be Advanced Analytics & Modeling
  • 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
Data Engineering & Data Architecture Collaboration
  • Write highly optimized SQL queries to extract, transform, and analyze large‑scale datasets across multiple relational databases and cloud data platforms
  • Partner closely 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
Data Visualization & Analytics Products
  • 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
Measurement, Experimentation & Performance Analysis
  • 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
Analytics Leadership & Cross‑Functional Partnership
  • 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
Qualifications Experience & Education
  • Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, Engineering, or another quantitative discipline (Master’s degree preferred)
  • 8+ years of experience in analytics, business intelligence, data science, or a related field
  • Experience leading complex analytics projects and influencing…
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