Manager, Data Analytics

Mattel; El Segundo (CA); On-site; USD 100,000 - 140,000; Full time

Job summary

Mattel is seeking a Manager of Data Analytics to lead initiatives within its DTC Consumer Data & Analytics team in El Segundo, California. This role requires a blend of analytics, technology, and business strategy, ensuring that data translates into actionable insights. Candidates should have a strong background in analytics with over 8 years of experience, particularly in ecommerce and business intelligence. The role involves collaborating across teams, enhancing data architecture, and mentoring junior analysts. A Master's degree is preferred.

Qualifications

• 8+ years of experience in analytics or related field.
• Experience leading complex analytics projects.
• Prior experience in ecommerce or retail environments preferred.

Responsibilities

• Drive complex analytical initiatives and measurement strategy.
• Develop scalable reporting and analytical solutions.
• Lead high-impact analytics projects supporting ecommerce strategy.

Skills

Advanced SQL proficiency

Experience with cloud data platforms

Proficient in Python or R

Data visualization and BI tools

Understanding statistical analysis

Education

Bachelor’s degree in a quantitative field

Master’s degree (preferred)

Tools

Redshift

BigQuery

Snowflake

Tableau

Job description

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 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 the projected hiring range; 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.

Equal Opportunity Statement

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.