Sourcing Analytics Intern | AI & Power BI Dashboards

Ericsson; Plano (TX); On-site; USD 28,000 - 41,000; Full time

Job summary

Ericsson Inc. is seeking an Operational Sourcing Intern to join the North American team in Plano, TX for a 12-week program starting May 25, 2027. You will build dashboards, analyze supplier data, and support sourcing digital initiatives using Power BI, SQL, and AI-enabled tools.

This fast-paced internship offers exposure to stakeholders across Sourcing, Accounting, and Operations, with hands-on projects in data governance, spend analytics, and process automation.

Qualifications

• GPA 2.7+ or equivalent; unofficial transcript required.
• Actively enrolled full-time in undergrad, master's, or PhD.
• Available for a full-time internship for 12 weeks.

Responsibilities

• Build and maintain dashboards with insights into supplier performance and spend.
• Develop analytical models to identify sourcing opportunities and trends.
• Use AI/automation tools to streamline sourcing workflows.
• Assist in data pipelines, reporting solutions, and automated workflows.
• Support Power BI dashboards and executive reporting tools.
• Explore generative AI and intelligent automation in sourcing processes.
• Analyze large datasets and translate findings into recommendations.
• Collaborate with sourcing teams to digitize and automate processes.
• Support projects on data governance, supplier insights, and procurement transformation.

Skills

SQL

Power BI

Power Automate

AI/ML concepts

Analytics platforms

Procurement basics

Education

Bachelor's/Master's in related field

Tools

Copilot AI

Job description

Ericsson Inc. is seeking an Operational Sourcing Intern to join the North American team in Plano, TX for a 12-week program starting May 25, 2027. You will build dashboards, analyze supplier data, and support sourcing digital initiatives using Power BI, SQL, and AI-enabled tools.

This fast-paced internship offers exposure to stakeholders across Sourcing, Accounting, and Operations, with hands-on projects in data governance, spend analytics, and process automation.