Manager, Data Analytics

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. 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 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 What We’re Looking For 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 business decisions through data Prior experience in ecommerce, digital analytics, consumer analytics, or retail environments strongly preferred Technical Skills 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 Business & Analytical Skills 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 The pay range is indicative of projected hiring range, however base pay will be determined based on a candidate’s work location, skills and experience. Mattel offers competitive total pay programs, comprehensive benefits, and resources to help empower a culture where every employee can reach their full potential. Don’t meet every single requirement? At Mattel, we are dedicated to an inclusive workplace and a culture of belonging. If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we still encourage you to apply. You may be just the right candidate for this or other roles. Join Mattel's Talent Community and start receiving exciting updates about our company, our employees, and our culture. Also, interested in signing up for job alerts? Do so here! How We Work We collaborate: Being a part of Mattel means being part of one team with shared values and common goals. Every person counts and working closely together always brings better results. Partnership is our process and our collective capabilities is our superpower. We innovate: At Mattel we always aim to find new and better ways to create innovative products and experiences. No matter where you work in the organization, you can always make a difference and have real impact. We welcome new ideas and value new initiatives that challenge conventional thinking. We execute: We are a performance-driven company. We strive for excellence and are focused on pursuing best-in-class outcomes. We believe in accountability and ownership and know that our people are at their best when they are empowered to create and deliver results. Who We Are Mattel is a leading global toy and family entertainment company and owner of one of the most iconic brand portfolios in the world. We engage consumers and fans through our franchise brands, including Barbie, Hot Wheels, Fisher-Price, American Girl, Thomas & Friends, UNO, Masters of the Universe, Matchbox, Monster High, MEGA and Polly Pocket, as well as other popular properties that we own or license in partnership with global entertainment companies. Our offerings include toys, content, consumer products, digital and live experiences. Our products are sold in collaboration with the world’s leading retail and ecommerce companies. Since its founding in 1945, Mattel is proud to be a trusted partner in empowering generations to explore the wonder of childhood and reach their full potential. Mattel’s award‑winning workplace culture has been recognized by Forbes, Fast Company, Newsweek, Great Place to Work, TIME, and more. Visit us at and Mattel is an Equal Opportunity Employer where we want you to bring your authentic self to work every day. We welcome all job seekers, and all applicants will receive consideration for employment without regard to race, ethnicity, color, national origin, religion, sex, gender, gender identity or expression, sexual orientation, veteran and protected veteran status, disability status, and or any other basis protected by applicable federal, state or local law. Pursuant to the Los Angeles Fair Chance Ordinance and the California Fair Chance Act, qualified applicants with arrest or conviction records will be considered for employment. #J-18808-Ljbffr