Digital Workplace Experience Intern — Optimize UX & Data

ASM Global LLC.; Legends (SC); Hybrid; USD 19,000 - 30,000; Part time

Job summary

Legends Global is seeking a Digital Workplace Experience Intern within its Information Technology department. This on-site, part-time internship (20–25 hours/week) offers exposure to enterprise analytics, AI tooling, and end-user experience optimization across systems.

The candidate will map employee technology journeys, analyze end-user interactions, and collaborate with cross-functional teams to enhance self-service workflows and support channels.

Qualifications

• Currently pursuing or recently completing a bachelor's or master's degree in data Analytics, Business Analytics, Computer Science, Economics, Engineering, or a related field.
• Internship or project-based experience working with data, analytics, AI tools, or business strategy.
• Strong interest in enterprise analytics, applied AI, and using data to drive operational decision-making.
• Experience working with relational databases.

Responsibilities

• Analyze end-user technology experience by developing user personas and mapping employee technology journeys across systems and platforms.
• Identify opportunities to improve digital workplace interactions, focusing on usability, accessibility, and overall user satisfaction.
• Support optimization of multi-channel support intake, including ticketing systems, chat, and self-service tools.
• Collaborate with cross-functional teams to enhance self-service workflows and streamline the end-user support experience.

Skills

Data analytics

AI tools

Relational databases

Problem solving

Analytical thinking

Education

Bachelor's or Master's in a related field

Tools

SQL

Job description

Legends Global is seeking a Digital Workplace Experience Intern within its Information Technology department. This on-site, part-time internship (20–25 hours/week) offers exposure to enterprise analytics, AI tooling, and end-user experience optimization across systems.

The candidate will map employee technology journeys, analyze end-user interactions, and collaborate with cross-functional teams to enhance self-service workflows and support channels.