Operations & Data Automation Intern - Summer 2026

Role Overview

The Operations & Data Automation Intern will support the team by assisting with data analysis, process mapping, and automation initiatives. This role provides handson experience improving operational efficiency by documenting manual workflows, analyzing process performance, and implementing repeatable automated solutions.

The intern will work independently on assigned tasks, with guidance and mentorship from the team.

Key Responsibilities:

• Map and document currentstate operational processes and tasks, with clear identification of manual workflows and handoffs.
• Identify and prioritize opportunities to reduce manual effort, eliminate rework, and improve endtoend cycle time.
• Prepare, validate, and maintain clean, welldefined datasets to support reliable analysis and reporting.
• Develop and maintain reusable Python scripts to enable data preparation, validation, and repeatable analytical workflows.
• Design userfriendly tools and scalable, repeatable processes to streamline recurring operational tasks and reduce manual dependency.
• Develop and/or support recurring reports and dashboards that improve operational visibility and decisionmaking.
• Support the implementation, testing, and documentation of process improvements and automation solutions.
• Evaluate and pilot limited AIassisted use cases under team guidance, with clearly defined success criteria.
• Document work, processes, and outputs to enable effective knowledge sharing, continuity, and longterm sustainability.

Requirements:

Education

• Enrolled in a Bachelor's or Master's program, or graduated within the past 12 months, in a quantitative or technical field.
• Relevant majors include:
• Business Analytics
• MIS / Information Systems
• Engineering
• Computer Science
• Data Science
• Statistics
• Related fields

Technical & Analytical Skills

• Demonstrated experience using Python to work with data, including cleaning, validation, transformation, or task automation.
• Strong analytical skills with the ability to prepare and work with clean, wellstructured datasets.
• Ability to map and document processes, identify manual steps, and propose efficiency or automation improvements.

Work Location & Schedule

• Based on site at Lenovo Corporate, following a 3:2 hybrid schedule (3 days in the office, 2 days flexible/remote).
• Fulltime commitment of 40 hours per week, with flexibility in daily scheduling and accommodation for preplanned vacation time.

Internship Program Details

• 8week summer internship program
• Program Start Date: Monday, June 1
• Program End Date: Friday, July 24