Manager, Data Analytics

Company Description

CREATIVITY IS OUR SUPERPOWER. It’s our heritage and it’s also our future. Because we don’t just make toys. We create innovative products and experiences that inspire fans, entertain audiences and develop children through play. Mattel is at its best when every member of our team feels respected, included, and heard—when everyone can show up as themselves and do their best work every day. We value and share an infinite range of ideas and voices that evolve and broaden our perspectives with a reach that extends into all our brands, partners, and suppliers.

The Team:

Mattel’s Direct-to-Consumer (DTC) and Ecommerce organization is a key driver of Mattel’s digital transformation and global growth strategy. Through experiences like Mattel Creations, American Girl, and brand-owned ecommerce platforms, the team creates engaging digital destinations where consumers can explore, connect with, and purchase directly from our brands.

The DTC organization brings together product, merchandising, marketing, technology, and analytics to deliver best-in-class digital experiences for collectors, parents, and fans around the world. By combining consumer insights, innovative product experiences, and data-driven decision making, the team is focused on strengthening direct relationships with our consumers and accelerating the growth of Mattel’s global ecommerce business.

Job Description

The Opportunity:

The Manager, Data Analytics plays a critical role within Mattel’s DTC Consumer Data & Analytics team, helping unlock the value of consumer and ecommerce data to drive business growth. 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.

The ideal candidate is both technically strong and business-oriented, with a passion for solving complex problems, mentoring others, and translating data into meaningful business impact.

What Your 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 measuri