Manager, Business Analytics – Mattel Digital Studios

Mattel•El Segundo, CA

13h•$117,000 - $145,000•Hybrid

About The Position

As Manager, Business Analytics - MDS, you will establish and grow the business analytics capability that enables executive decision-making across Mattel Digital Studios. You will transform product, operational, portfolio, and financial data into executive insights, portfolio visibility, and decision support that improve governance, prioritization, and business performance across MDS. You will develop executive dashboards, portfolio reporting, business intelligence and analytics, and analytical frameworks that provide leadership with a consistent, trusted view of business performance. Working closely with Business Operations, Strategy, Product, Growth, Finance, Technology, and the broader Data & Analytics organization, you will help leaders understand what is happening across the portfolio, why it is happening, and what actions should be considered. You will independently develop dashboards, reporting, and analytical solutions using tools such as SQL, Mixpanel, Tableau, Power BI, and other business intelligence tools while partnering with technical analytics teams to improve data quality, reporting automation, and enterprise analytics capabilities. Your work will support executive business reviews, Greenlight governance, Phase Gate reviews, portfolio planning, and other strategic management processes across MDS. This role serves as the primary analytics partner to Business Operations and MDS leadership, bridging technical analytics and business strategy by translating complex information into executive-ready insights and recommendations that improve visibility, decision-making, and organizational effectiveness. This role reports directly to the Director, MDS Business Operations and partners closely with leaders across Strategy, Finance, Product, Technology, Licensing, Partnerships, and Mattel Game Studios.

Requirements

Bachelor's degree in Statistics, Mathematics, Business Analytics, Economics, Computer Science, Engineering, Business, or a related quantitative field; Master's degree preferred.
8+ years of experience in business analytics, business intelligence, product analytics, strategy analytics, data analytics, or a related field.
Demonstrated experience developing executive dashboards, business intelligence, portfolio reporting, and analytical solutions that support business decision-making.
Advanced SQL proficiency with the ability to independently extract, transform, and analyze large datasets.
Understanding of digital gaming performance metrics, including DAU, MAU, retention, engagement, payer conversion, ARPDAU, lifetime value, CPI, ROAS, monetization, and LiveOps performance.
Experience developing dashboards and visualizations using Mixpanel, Tableau, Power BI, Looker, or comparable business intelligence platforms.

Responsibilities

Develop executive dashboards, scorecards, business intelligence solutions, and analytical insights that provide leadership with a trusted view of portfolio performance and organizational health across Mattel Digital Studios.
Build and maintain executive reporting that supports Weekly Leadership Meetings, Monthly Business Reviews (MBRs), Greenlight governance, Phase Gate reviews, leadership forums, and other executive decision-making processes.
Develop portfolio health reporting that integrates product, operational, commercial, and financial performance into clear executive insights.
Define and maintain standardized business metrics, KPI definitions, and reporting methodologies that improve consistency and decision-making across MDS.
Translate complex analytical findings into concise, executive-ready narratives, recommendations, risks, and opportunities.
Translate complex business and analytical findings into concise executive narratives that clearly communicate business performance, risks, opportunities, and recommended actions.
Partner with Business Operations, Strategy, Product, Growth, Finance, and Studio leadership to translate business questions into structured analytical approaches and actionable recommendations.
Analyze portfolio performance, business trends, and operational metrics to identify opportunities, emerging risks, and areas requiring leadership attention.
Support Greenlight, Phase Gate, portfolio planning, and executive governance forums with quantitative analysis, business intelligence, and decision support.
Develop scenario analyses, business cases, and performance insights that inform investment decisions, prioritization, and strategic planning.
Combine quantitative analysis with qualitative business context to provide balanced, decision-ready recommendations.
Design, develop, and maintain scalable dashboards, reporting solutions, and self-service analytics that improve business visibility across MDS.
Write SQL queries independently to extract, transform, and analyze data from multiple sources while ensuring accuracy, consistency, and reliability.
Develop interactive visualizations using Mixpanel, Tableau, Power BI, or similar business intelligence platforms.
Partner with Technology and the Data & Analytics organization to improve reporting automation, data quality, KPI governance, and analytical capabilities.
Continuously improve reporting processes, dashboard usability, and analytical workflows that enable faster and more informed decision-making.
Serve as the primary analytics partner to Business Operations, supporting executive leadership through timely reporting, business intelligence, and analytical decision support.
Build strong cross-functional relationships across Strategy, Product, Growth, Finance, Technology, Licensing, Partnerships, and Mattel Game Studios.
Translate business requirements into analytical solutions while communicating technical concepts clearly to non-technical stakeholders.
Present business insights, portfolio analyses, and recommendations to senior leaders in support of executive decision-making.
Champion a culture of data-informed decision-making by improving business visibility, analytical maturity, and organizational understanding of key performance drivers.