Program Manager Data Analytics Jobs in Los Angeles, CA

Job Summary:
Mattel, Inc. is a leading global toy and family entertainment company focused on creativity and innovation. The Manager, Data Analytics plays a critical role in unlocking consumer and ecommerce data to drive business growth, partnering with various stakeholders to transform data into actionable insights and leading high-impact analytics projects.
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 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
• 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
Qualifications:
Required:
• Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, Engineering, or another quantitative discipline
• 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 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 BI 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 such as Conversion rate, Customer acquisition, Demand and net sales, Contribution margin, Customer lifetime value, 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
Preferred:
• Master’s degree preferred
• Prior experience in ecommerce, digital analytics, consumer analytics, or retail environments strongly preferred
Company:
We empower generations to explore the wonder of childhood and reach their full potential. Founded in 1945, the company is headquartered in El Segundo, USA, with a team of 10001+ employees. The company is currently Late Stage.