Demo

Intern - Network Data Analyst

Zayo Group
Zayo Group Salary
Denver, CO Intern
POSTED ON 2/25/2025
AVAILABLE BEFORE 5/23/2025

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.

External Field

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 Dataiku

Estimated Pay Range : $23.00-$25.00 USD / hour

Zayo provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, provincial or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Salary : $23 - $25

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