Portfolio Analytics Analyst — Data-Driven Strategy & AI

Mattel, Inc.

El Segundo (CA)

On-site

USD 90,000 - 130,000

Full time

14 days+

Get more replies from employers

Send a job-specific resume in minutes.

Job summary

Mattel, Inc. is seeking a Portfolio Management Analyst to drive data-driven portfolio decisions by connecting Global Product Brand Teams with regional planning and commercial functions. You will own PMR analytics, develop KPI views, and translate data into executive-ready insights.

You will analyze performance across brands, regions, and planning horizons, build dashboards, and support cross-functional improvements within the S&OP process, including responsible AI-assisted workflows.

Qualifications

Bachelor’s degree or higher in Business Administration, Supply Chain, Analytics, Finance, Operations, or a related field.
2–3 years of relevant experience in supply chain, portfolio management, product development, business analytics, or a related function; consumer products experience preferred.
Strong analytical and critical-thinking skills, including the ability to frame ambiguous business questions, test assumptions, distinguish signal from noise, identify root causes, and form evidence-based recommendations.
Demonstrated ability to develop recurring management presentations that combine accurate analysis, effective data visualization, and a compelling executive storyline.
Advanced Microsoft Excel skills, including pivot tables, lookups, data cleansing, scenario modeling, and management of large data sets; experience with Power Query or similar automation capabilities is preferred.

Responsibilities

Own the end-to-end monthly Portfolio Management Review (PMR) analytics and PowerPoint deck development process, including data collection, validation, synthesis, storyline development, executive-ready visuals, and distribution of supporting materials.
Analyze portfolio performance across brands, regions, product lines, and planning horizons; identify meaningful trends, variances, outliers, risks, and opportunities that require management attention.
Translate large and complex data sets into concise business narratives, clear recommendations, and actionable metrics that help leaders understand what changed, why it changed, and what action is required.
Develop and maintain standardized KPI views, scorecards, dashboards, and presentation templates to improve consistency, comparability, and efficiency across monthly reviews.
Conduct ad hoc analysis, scenario modeling, and what-if assessments to evaluate portfolio choices, timing changes, demand shifts, item productivity, and process impacts.
Partner with Global Brand Teams, regional planning, commercial teams, Finance, Product Development, and Sourcing to understand business challenges, challenge assumptions constructively, and drive alignment on decisions and follow-up actions.
Lead or support strategic initiatives that improve Portfolio Management and S&OP processes, including defining requirements, documenting workflows, measuring outcomes, and managing implementation milestones.
Partner with Supply Chain Analytics to validate data, perform user acceptance testing, improve dashboard usability, and increase adoption and understanding of reporting tools.
Use approved AI and automation tools responsibly to accelerate research, data preparation, quality checks, meeting summaries, and presentation development while applying sound judgment, protecting confidential information, and validating outputs before use.
Maintain action logs and decision records from PMR sessions, monitor follow-through, and elevate unresolved risks or dependencies when appropriate.