Master's Data Analyst Intern: AI Insights & Dashboards

AMD; San Jose (CA); Hybrid; USD 28,000 - 48,000; Full time

Job summary

AMD is seeking a highly motivated Data Analyst intern/co-op in the San Jose area. You will analyze data, develop proofs of concepts, and help implement AI-ready solutions within a collaborative team. The role includes dashboard creation, reporting, and exposure to prescriptive modeling.

Open to undergraduate or PhD students, this 40-hour/week program offers hybrid or on-site work arrangements and real-world experience on projects affecting millions of end-users worldwide.

Qualifications

• You are enrolled in a United States-based university in a Master’s program related to data/engineering fields.
• You should have knowledge in Python, SQL, R and Java.
• Familiarity with data processing, data engineering or data science is expected.

Responsibilities

• Analyze and organize raw data to craft proofs of concepts and prototypes, and implement solutions using appropriate analysis methods and visualizations.
• Assist in data analysis assignments and report results; contribute to prescriptive and predictive modeling for business insights.
• Build reports, presentations and dashboards using data visualization tools.

Skills

Python

SQL

R

Java

Data processing

Data engineering

Data science

Kubernetes

Tableau

Power BI

Azure

AKS

Snowflake

Oracle

SQL Server data platform

Software development

Data modeling

Education

Master's program in Data Analytics / Data Engineering / Computer Engineering / Electrical Engineering / Computer Science or related field

Job description

AMD is seeking a highly motivated Data Analyst intern/co-op in the San Jose area. You will analyze data, develop proofs of concepts, and help implement AI-ready solutions within a collaborative team. The role includes dashboard creation, reporting, and exposure to prescriptive modeling.

Open to undergraduate or PhD students, this 40-hour/week program offers hybrid or on-site work arrangements and real-world experience on projects affecting millions of end-users worldwide.