EHS & Operations Analytics Intern

Whitecap; Atlanta (GA); Vor Ort; USD 21.000 - 30.000; Vollzeit

Zusammenfassung

White Cap offers an internship program designed to give students hands-on experience across marketing, HR, IT, sales, operations, and more. The role emphasizes building analytical capabilities with real-world business impact.

You will work on projects that develop insights from data, support cross-functional teams, and explore AI, predictive analytics, and automation as tools to improve safety and operational performance.

Qualifikationen

• High School Diploma or GED strongly preferred.
• Coursework or prior experience related to occupational safety, OSHA regulations, environmental compliance, transportation safety, or risk management.
• Experience analyzing data, identifying trends, and developing insights from large datasets.
• Experience creating dashboards, reports, or presentations that communicate data-driven insights to stakeholders.
• Exposure to fleet, telematics, learning management, EHS, or asset protection systems is a plus.

Aufgaben

• Prepares and delivers insights and recommendations based on analyses.
• Produces findings and draws conclusions from analyses. Makes oral and written recommendations to management.
• Executes tasks directly related to functional projects and/or process improvements.
• Communicates issues and roadblocks related to areas of responsibility.
• May assist in research or special projects in a variety of areas in order to fulfill business initiatives and meet business objectives.

Kenntnisse

Data analysis

Data storytelling

Analytical thinking

Ausbildung

High School Diploma or GED

Tools

Power BI

SQL

Python

Data visualization tools

Jobbeschreibung

White Cap offers an internship program designed to give students hands-on experience across marketing, HR, IT, sales, operations, and more. The role emphasizes building analytical capabilities with real-world business impact.

You will work on projects that develop insights from data, support cross-functional teams, and explore AI, predictive analytics, and automation as tools to improve safety and operational performance.