Data Science Summer Internship

Lightera•Avon, CT

7h•Onsite

About The Position

LIGHTERA has one of the longest and most respectable corporate lineages in American business, which goes back to Alexander Graham Bell and the invention of the telephone more than a century ago. We have a proven track record of being first in the industry with application specific fibers, optical connectors, ribbon cables, erbium doped fibers, Raman fiber lasers, fiber gratings and more. Our mission is to provide leading optical innovations and solutions by designing, manufacturing and supplying the best optical fibers, fiber cable and components and devices for our customers, with exceptional service that creates value for our shareholders, customers and employees. To do so, we must continue shaping the future of communications by applying the best minds to the challenges our customers will continually face. We currently seek a college student enrolled in a Data Analytics or Data Science course of study who is interested in a summer internship opportunity. Our Controls department is looking for a Data Analytics Intern at our facility located in Avon, CT. Job Summary The selected candidates will work under the guidance of senior engineers and project leaders, in their designated departments, on various projects for specialty optical fiber manufacturing. Collect, clean, and analyze manufacturing data: Gather test and process data from SQL databases, including both time‑series data and relational data, perform data cleaning, validation, and preparation for analysis. Develop data visualizations and dashboards: Create and maintain Power BI reports and dashboards to visualize manufacturing performance, trends, and key metrics derived from time‑based and relational datasets. Collaborate with cross‑functional teams: Work closely with manufacturing, quality, and engineering teams to understand data requirements, translate business needs into analytics solutions, and communicate insights effectively. Support documentation and continuous improvement efforts: Document data sources, data models, transformations, and reporting logic, and perform other related data analysis or software‑related duties as required by the business. At the end of the internship, the candidate will prepare a presentation that summarizes the work they were involved in during the program. Education Requirements Candidate must be enrolled full-time in a college or university with a Data Analytics or Data Science course of study. The ideal candidate will be in their junior or senior year of school. Experience This is an entry-level internship position. Computer skills and experience using Microsoft Windows applications necessary. Working at LIGHTERA means having the opportunity to realize ideas, experience innovation and discover new solutions for the future. In addition to our dynamic work environment, we offer competitive salaries and generous benefits programs, including medical, dental, tuition reimbursement and a matching 401(k) plan. Employees are expected to serve as role models for safe work practices and behaviors. This includes following established health and safety policies and procedures, maintaining a clean, organized work area, wearing, and properly storing all personal protective equipment (PPE), and actively engaging as a safety conscious worker with personal safety and wellness as a priority. If you'd like to be part of an energetic, world leader in optic fiber solutions, please apply through our Career portal at https://lightera.com/about-us/ [https://lightera.com/about-us/]. Note: Only those candidates selected for the interview process will be contacted. Visa sponsorship not available. Applicants must be legally authorized to work in the United States now and in the future. The company does not provide visa sponsorship or any immigration support (including STEM OPT training plan) for this position. About Lightera Lightera is a global leader in optical fiber and connectivity solutions, delivering innovative technologies that drive communication networks, data centers, and specialty photonics applications. With a deep legacy of expertise in optical science, we provide high-performance solutions that enable faster, more reliable, and more sustainable connections for businesses, communities, and industries worldwide. Headquartered in Norcross, Georgia, U.S.A., Lightera operates with a global footprint, serving customers across telecommunications, enterprise, industrial, generative AI, data centers, 5G/6G, utilities, medical, aerospace, defense, and sensing markets. Lightera is part of Furukawa Electric Group, a multi-billion-dollar leader in optical communications. Lightera is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or status as an individual with a disability.

Requirements

Candidate must be enrolled full-time in a college or university with a Data Analytics or Data Science course of study.
The ideal candidate will be in their junior or senior year of school.
This is an entry-level internship position.
Computer skills and experience using Microsoft Windows applications necessary.
Applicants must be legally authorized to work in the United States now and in the future.

Responsibilities

Collect, clean, and analyze manufacturing data: Gather test and process data from SQL databases, including both time‑series data and relational data, perform data cleaning, validation, and preparation for analysis.
Develop data visualizations and dashboards: Create and maintain Power BI reports and dashboards to visualize manufacturing performance, trends, and key metrics derived from time‑based and relational datasets.
Collaborate with cross‑functional teams: Work closely with manufacturing, quality, and engineering teams to understand data requirements, translate business needs into analytics solutions, and communicate insights effectively.
Support documentation and continuous improvement efforts: Document data sources, data models, transformations, and reporting logic, and perform other related data analysis or software‑related duties as required by the business.