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Ai/Bi Intern- Data Center

AFLDuncan, SC
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Overview

Schedule
Full-time
Career level
Senior-level
Remote
Hybrid remote
Benefits
401k Matching/Retirement Savings

Job Description

AFL manufactures industry-leading fiber optic cable, connectivity and accessories and provides engineering and installation services for some of the largest telecom customers in the world. Our company was founded in 1984 with a single fiber optic cable and today, we manufacture thousands of products, generate an excess of $2B in revenue, and employ approximately 11,000 associates worldwide. At AFL, we recognize that our employees are our greatest asset. We hire and train each individual, investing in them to ensure success in their careers. With a commitment to professional development and growth, let us connect you to your next career opportunity.

What We Offer!

  • Corporate Housing- AFL offers corporate housing to all non-local students free of charge!
  • Gas Stipend- for those students who are driving more than 50 miles, AFL will offer a gas stipend to alleviate some of that financial burden
  • Great Pay!
  • 401K Company match (up to 4% - dollar for dollar)

AI/BI Intern - Data Center Business Unit

Job Summary

Under general direction, the AI/BI Intern will support analytics, automation, and business intelligence initiatives for the Data Center Business Unit. This role will assist with data preparation, dashboard development, AI-driven workflow improvements, and reporting tasks to help drive insight and operational effectiveness across the organization. This internship will begin Summer 2026!

Responsibilities

  • Assist in developing Power BI dashboards, automated reports, and AI-enhanced analytics for the Data Center BU.
  • Support data preparation, cleansing, and validation activities for BI and AI projects.
  • Partner with team members to identify opportunities for automation and workflow improvements using AI tools.
  • Run analytics queries and assist in generating business insights for leadership reviews.
  • Help maintain SharePoint, project reporting repositories, and documentation.
  • Provide general project and administrative support to the Data Center BU operations and analytics team.

Personal Qualities

  • Strong analytical and problem‑solving skills.
  • Ability to work independently and collaboratively in team settings.
  • Excellent verbal and written communication skills.
  • Curiosity and willingness to learn new technologies, including AI tools.
  • Detail‑oriented with strong organizational skills.

Qualifications

  • Minimum 3.0 GPA.
  • Completion of sophomore or junior year in college preferred.
  • Coursework or experience in data analytics, computer science, information systems, or related fields.
  • Experience with Microsoft Excel and Power BI preferred.
  • Basic familiarity with Python, SQL/NoSQL databases, version control tools (e.g., Git), or AI/ML concepts is a plus.

Working Conditions

Office environment with potential hybrid/remote work flexibility. Collaboration with cross‑functional teams across AFL's Data Center Business Unit.

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FAQs About Ai/Bi Intern- Data Center Jobs at AFL

What is the work location for this position at AFL?
This job at AFL is located in Duncan, SC, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at AFL?
Employer has not shared pay details for this role.
What employment applies to this position at AFL?
AFL lists this role as a Full-time position.
What experience level is required for this role at AFL?
AFL is looking for a candidate with "Senior-level" experience level.
What benefits are offered by AFL for this role?
AFL offers 401k Matching/Retirement Savings for this position. Actual benefits may vary depending on the employer's policies and employment terms.
What is the process to apply for this position at AFL?
You can apply for this role at AFL either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.