Manager Data Analytics
About The Position
The Manager, Data Analytics is part of Mattel’s Direct-to-Consumer Consumer Data & Analytics team and helps use consumer and ecommerce data to drive business growth. Working across analytics, technology, and business strategy, the role partners with ecommerce, digital marketing, product, merchandising, and technology stakeholders to turn data into actionable insights. The manager leads complex analytical initiatives, guides measurement strategy, and develops scalable reporting and analytics solutions to help the organization understand consumer behavior, improve performance, and identify growth opportunities. The role also mentors analysts, establishes analytics and experimentation best practices, and contributes to the evolving analytics strategy for Mattel’s global DTC ecosystem. The position combines advanced analytics and modeling, data engineering and architecture collaboration, visualization and analytics product development, measurement and experimentation, and cross-functional leadership. It supports Mattel’s DTC ecommerce strategy and digital transformation by delivering reliable analyses, reporting, and recommendations that inform business and product decisions.
Requirements
- Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, Engineering, or another quantitative discipline.
- 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 with large-scale relational datasets.
- Strong proficiency in Python or R for statistical analysis, data processing, and modeling.
- Strong understanding of statistical analysis and experimentation, including hypothesis testing, regression analysis, and A/B testing.
- Ability to translate complex data into clear insights and recommendations that influence business strategy.
- Ability to structure ambiguous business problems into actionable analytical approaches.
Nice To Haves
- Master’s degree in a quantitative discipline.
- Experience in ecommerce, digital analytics, consumer analytics, or retail environments.
- Experience with cloud data platforms such as Redshift, BigQuery, Snowflake, or Athena.
- Experience with data visualization and BI tools such as Tableau, QuickSight, Looker, or similar platforms.
- Familiarity with digital analytics platforms such as Google Analytics or Adobe Analytics.
- Experience applying machine learning methods or domain-specific models where appropriate.
Responsibilities
- Design and execute complex analyses of ecommerce performance, consumer behavior, and marketing effectiveness using statistical and computational methods.
- Apply regression analysis, hypothesis testing, causal inference, and experimental design to evaluate business initiatives and product changes.
- Develop predictive and descriptive models for 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 optimized SQL queries to extract, transform, and analyze large datasets across relational databases and cloud data platforms.
- Partner with data engineering teams to design and improve scalable data pipelines, models, and structures for analytics and reporting.
- Support data integrity, consistency, and accuracy across ecommerce, digital analytics, CRM, marketing, and operational data sources.
- Contribute to data architecture, analytics workflows, and data governance improvements.
- Design and build scalable dashboards, reporting solutions, interactive visualizations, and data products to monitor DTC performance and identify growth opportunities.
- Establish visualization standards and best practices, and communicate complex results through clear data storytelling for stakeholders and executives.
- Define measurement frameworks and KPIs for ecommerce initiatives, digital marketing campaigns, and consumer engagement programs.
- Lead A/B testing and other experimentation initiatives to evaluate product features, merchandising strategies, and marketing initiatives.
- Interpret experimental results and provide recommendations to guide product and business strategy.
- Develop standardized approaches to measuring funnel performance, customer journeys, and consumer lifecycle behavior.
- Lead high-impact analytics projects supporting Mattel’s DTC ecommerce strategy and digital transformation.
- Translate business questions into structured analytical approaches and technical solutions.
- Mentor analysts on advanced analytical methods, coding standards, and analytics development best practices.
- Partner with product, marketing, merchandising, and technology teams to embed data-driven decision-making.
Benefits
- Competitive total pay programs
- Comprehensive benefits
- Resources to help empower a culture where every employee can reach their full potential
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What This Job Offers
Job Type
Full-time
Career Level
Manager
