Data Analytics Intern – Power BI & Process Automation

Emerson; Shakopee (MN); On-site; USD 29,000 - 33,000; Full time

Benefits offered by this job

Housing allowance

Paid holidays

Flexible hours

On-site facilities

Job summary

Emerson in Minnesota is offering a hands‑on internship focused on data analytics within EHS technology. You will help build Power BI dashboards, support Cority data management, and contribute to automation projects that improve efficiency and decision‑making.

The role requires pursuing a related bachelor’s degree, zero experience, and full‑time in‑person work. You will gain exposure to AI and emerging technologies while collaborating with cross‑functional teams in a manufacturing environment.

Qualifications

• Pursuing a bachelor’s degree in a related field.
• Zero years of related experience required.
• Ability to work full‑time (40 hours per week) in‑person.
• Legal authorization to work in the United States.

Responsibilities

• Support EHS technology and data initiatives via system integration projects.
• Assist in implementing Cority with data management and reporting.
• Develop and maintain Power BI dashboards and reports.
• Mine data from multiple systems to identify trends and opportunities.
• Assist with NMPR workflow automation and process improvements.
• Collaborate with EHS, Operations, IT to align tech solutions with business needs.
• Participate in testing, validation, and documentation of processes and systems.
• Evaluate automation tools like Cority and Wrike to streamline workflows.
• Translate business requirements into technical solutions as a liaison.
• Gain exposure to automation, AI, and data-driven processes in operations.

Skills

Power BI

Data analysis

Workflow automation

Excel

SQL

Power Platform

Education

Bachelor's degree in Data Analytics

Tools

Wrike

Cority

Power Platform

Job description

Emerson in Minnesota is offering a hands‑on internship focused on data analytics within EHS technology. You will help build Power BI dashboards, support Cority data management, and contribute to automation projects that improve efficiency and decision‑making.

The role requires pursuing a related bachelor’s degree, zero experience, and full‑time in‑person work. You will gain exposure to AI and emerging technologies while collaborating with cross‑functional teams in a manufacturing environment.