Data Analytics Co-op: Build Insights for AI Impact

AMD; Fort Collins (CO); Hybrid; USD 37,000 - 50,000; Full time

Job summary

AMD is seeking a highly motivated Data Analyst intern/co-op based in the United States for hybrid or onsite work in Fort Collins, CO. The role spans multiple co-op/intern terms with structured data projects and hands-on experience.

You will analyze raw data, perform statistical analysis, build dashboards, and support prescriptive/predictive modeling. Enrolled in a US university's Master’s program, you’ll gain real-world experience and learn industry-relevant skills.

Qualifications

• Currently enrolled in a United States-based University in a Master’s program majoring in Data Analytics, Data Engineering, Computer Engineering, Electrical Engineering, Computer Science or related field.
• Strong interest in data analysis, engineering or science disciplines and a willingness to learn.

Responsibilities

• Analyze and organize raw data to craft proofs of concepts, prototypes, and implement solutions using analytical methods and visualization techniques.
• Assist in data analysis tasks and report results; support prescriptive and predictive modeling to generate business foresights.
• Build reports, presentations and dashboards using data visualization tools.

Skills

Python

SQL

R

Java

Data processing

data engineering

data science

Kubernetes

Tableu

PowerBi

Azure

AKS

Snowflake

Oracle

SQL server data platform

Software development

Database design

Education

Master’s in Data Analytics or related field

Tools

Kubernetes

Tableu

Power BI

Azure

AKS

Job description

AMD is seeking a highly motivated Data Analyst intern/co-op based in the United States for hybrid or onsite work in Fort Collins, CO. The role spans multiple co-op/intern terms with structured data projects and hands-on experience.

You will analyze raw data, perform statistical analysis, build dashboards, and support prescriptive/predictive modeling. Enrolled in a US university's Master’s program, you’ll gain real-world experience and learn industry-relevant skills.