Intern - Network Data Analyst

Company Description

Zayo provides mission-critical bandwidth to the world’s most impactful companies, fueling the innovations that are transforming our society. Zayo’s 141,000-mile network in North America and Europe includes extensive metro connectivity to thousands of buildings and data centers. Zayo’s communications infrastructure solutions include dark fiber, private data networks, wavelengths, Ethernet, and dedicated Internet access. Zayo serves wireless and wireline carriers, media, tech, content, finance, healthcare and other large enterprises.

About the Program: The 10-week Zayo Summer Internship Program is designed to cultivate the next generation of telecommunications professionals. Interns will gain meaningful, hands-on experience within a dynamic, fast-paced, and innovative environment. Our goal is to empower, develop, and connect our interns while fostering fresh perspectives and ideas that will drive our organization forward.

Program Details:

• Start Date: June 2025

• Duration: 10 weeks

• Location: Denver-based preferred, based on hiring team’s needs.

Networks Data Analyst Intern

The Networks & Technology Operations Data Analyst Intern role is pivotal in implementing data clean up and quality processes to improve business performance at Zayo. Responsibilities include leveraging data science and machine learning-based programs, and using complex problem solving to develop data solutions. This role requires a blend of technical expertise in statistical and machine learning models, code development, innovative thinking, and strong communication skills to collaborate with stakeholders in the operations organization. 

You will play a crucial role in driving data-driven decision-making and innovation, ultimately contributing to the organization's success by applying statistics and ML techniques to data to solve business problems and optimize operations. Strong analytical, problem-solving, communication, and interpersonal skills are essential for success in this role.

Responsibilities

• Identify data requirements.

• Help business teams make decisions, answer questions, and solve problems more efficiently and effectively using data-driven, fact-based, and model-based approaches.

• Design, engineer, develop, test, validate, deploy to production, operate, support DS models to solve predictive problems like time to failure of equipment, future resource usage, and resolve inventory discrepancies between multiple systems.

• Design engineer, develop, test, validate and deploy to production, operate, and support DS models to solve complex mulit-variable problems like routing cost analysis, inventory quality analysis between multiple data sets, and field repair time optimization.

• Deliver business value through cost reduction, avoidance, and optimization of process.

• Contribute to Networks data strategy and process improvement efforts with a focus on innovation through data science and machine learning.

• Collaborate with internal and external stakeholders to manage project status and any blockers.

Qualifications

• Currently pursuing a degree in Data Science, Computer Science, Statistics, Business Analytics, or a related field

• Experience with Python and SQL, and data querying techniques

• Experience with Excel, Python, R, or data visualization tools (e.g., Tableau, Power BI) is a plus

• Experience working in both cloud and on premise computing environments

• Predictive Modeling using ML, Time Series, Ensemble Models

• Excellent interpersonal skills, with the ability to effectively communicate technical work to non-technical audiences

• Proven attention to detail, critical thinking, and the ability to work both independently and collaboratively within a cross-functional team

• Ability to plan, prioritize and organize effectively and work under pressure deadlines

• Strong analytical and problem-solving skills with keen attention to detail.

• Preferred Qualifications:

• Familiarity with CI/CD pipelines for machine learning and MLOps practices

• Experience with working with DS problems in inventory

• Experience on a DS/ML Automation platform like Datai