AI-Enabled Logistics Analytics Intern

Mattel; El Segundo (CA); On-site; USD 28,000 - 41,000; Full time

Job summary

Mattel is seeking a Data Analytics & AI Enablement Intern for its Global Logistics team in El Segundo, CA. You will turn data from distribution centers, carriers, and fulfillment into reporting and insights to improve productivity and reduce costs while piloting AI-assisted workflows.

You’ll build automated dashboards, identify cost drivers, and help standardize data for analytics. Strong SQL, Python, and Excel skills with logistics familiarity are ideal.

Qualifications

• Enrolled in Master’s Degree or MBA program graduating in December 2027 or Spring 2028.
• 1-3 years related job experience.
• Hands-on data analysis experience, preferably in logistics or supply chain.
• Proficiency in SQL, Python, and advanced Excel; experience with ERP/WMS/transportation data is a plus.
• Strong data visualization skills using Tableau/Power BI.
• Working knowledge of generative AI tools and prompt design.

Responsibilities

• Collect, clean, and analyze datasets from logistics operations, including transportation, parcel shipping, and fulfillment costs.
• Build and automate recurring reporting—dashboards and KPI reports—to enable faster action on insights.
• Identify trends and cost drivers and translate them into data-backed recommendations.
• Map recurring analyses and pilot AI-driven workflows end to end.
• Prototype AI-assisted tools like draft commentary and anomaly flags for monthly reports.
• Improve data readiness by standardizing definitions and establishing data pipelines.

Skills

SQL

Python (pandas)

Excel advanced

Tableau/Power BI

AI tools & prompts

Data analytics

Logistics knowledge

Communication skills

Education

Master’s/MBA in progress

Tools

ERP systems

WMS data

LLM APIs

Job description

Mattel is seeking a Data Analytics & AI Enablement Intern for its Global Logistics team in El Segundo, CA. You will turn data from distribution centers, carriers, and fulfillment into reporting and insights to improve productivity and reduce costs while piloting AI-assisted workflows.

You’ll build automated dashboards, identify cost drivers, and help standardize data for analytics. Strong SQL, Python, and Excel skills with logistics familiarity are ideal.