Business Intelligence & Data Engineering Intern

NEI Electric Power Engineering•Lakewood, CO

1d•$27 - $27•Hybrid

About The Position

As a Business Intelligence & Data Engineering Intern, you will support the development of data solutions that help teams make informed, timely, and effective business decisions. Working alongside members of the IT team, you will gain hands-on experience with reporting, dashboard development, data preparation, and foundational data engineering work in a collaborative and growth-oriented environment. This internship is designed for a student who is curious, analytical, and eager to learn how modern data systems support business operations. In this role, you will contribute to meaningful projects while building practical experience with business intelligence tools, reporting processes, and data workflows that support teams across the organization.

Requirements

Currently pursuing a bachelor’s degree in information systems, computer science, data analytics, business analytics, engineering, or a related field from an accredited institution.
Relevant coursework, academic projects, or internship experience related to data, analytics, programming, or reporting.
Basic Python programming skills, including the ability to write and understand simple scripts.
Foundational understanding of how data is structured, including tables, files, and relationships.
Basic knowledge of database concepts, including tables, keys, and how data is stored.
Strong problem-solving skills and attention to detail.
Willingness and ability to learn new tools and technologies quickly.
Effective written and verbal communication skills.
Strong interpersonal skills and the ability to work effectively with others in a team environment.
Must be self-motivated, organized, and comfortable working in a fast-paced, collaborative setting.
Applicants must be currently authorized to work in the United States on a full-time basis.

Nice To Haves

Familiarity with SQL.
Exposure to data tools such as Power BI, Microsoft Fabric, Excel, or similar platforms.
Understanding of data pipelines or ETL concepts.
Experience with Git or version control.
Exposure to data visualization or reporting.

Responsibilities

Collaborate with team members to support business intelligence and data engineering initiatives across the organization.
Assist with collecting, organizing, validating, and preparing data from multiple sources for reporting and analysis.
Support the development and maintenance of dashboards, reports, and visualizations that help stakeholders understand performance and trends.
Assist with basic scripting, automation, and data transformation tasks using Python and related tools
Help maintain data tables, files, and structures that support reporting consistency, usability, and accuracy.
Support data pipeline and ETL-related activities under the guidance of experienced team members.
Assist in identifying data quality issues and help troubleshoot discrepancies in reports and datasets.
Document workflows, processes, and technical steps to support repeatability and knowledge sharing.
Research and build a practical understanding of business intelligence, reporting, and data engineering best practices.
Attend training and follow company policies, procedures, and guidelines.
Other job-related responsibilities as assigned.