Data Analyst Intern/Co‑op: AI Insights & Dashboards (Hybrid)

Advanced Micro Devices; United States; Hybrid; USD 28,000 - 40,000; Full time

Benefits offered by this job

AMD benefits at a glance

Job summary

Advanced Micro Devices (AMD) seeks a Data Analyst intern/co-op in the United States to analyze and organize raw data, craft proofs of concepts, and prototype analytical solutions. You’ll gain real-world experience on projects impacting millions of end-users and work across data analytics, data engineering, and visualization tasks.

You will contribute to prescriptive and predictive modeling efforts and develop dashboards while collaborating with a team of experts.

Qualifications

• Currently enrolled in a United States based University into an Undergrad program majoring in Data Analytics, Data Engineering, Computer Engineering, Electrical Engineer, Computer Science or a related field.

Responsibilities

• Analyze and organize raw data to craft proofs of concepts, prototype, and implement solutions using relevant analysis methods and visualization techniques.
• Build data for prescriptive and predictive modeling to generate business foresights.
• Build reports, presentations and dashboards using data visualization tools.

Skills

Python

SQL

R

Java

Data analytics

Data engineering

Tableau

Power BI

Azure

AKS

Snowflake

Oracle

SQL Server

Software development

Data modeling

Data processing

Education

Undergraduate program in Data Analytics, Data Engineering, Computer Engineering, Electrical Engineering, Computer Science or related field

Tools

Tableau

Power BI

Azure

Job description

Advanced Micro Devices (AMD) seeks a Data Analyst intern/co-op in the United States to analyze and organize raw data, craft proofs of concepts, and prototype analytical solutions. You’ll gain real-world experience on projects impacting millions of end-users and work across data analytics, data engineering, and visualization tasks.

You will contribute to prescriptive and predictive modeling efforts and develop dashboards while collaborating with a team of experts.