Data Analyst Intern School Year 2026-27 - TX

Hoffman Construction Company • Claude, TX

1d • $25 - $32 • Onsite

About The Position

The Data Analyst School Year Internship is a part-time, in-person position designed for students who are currently enrolled in a college or university. To support participation during the academic year, candidates should reside in or attend school within the Texas Panhandle region. Locations include, but are not limited to, Amarillo, Canyon, Claude, Childress, and surrounding communities. The Data Analyst Intern will help to drive informed decision-making by extracting insights from diverse data sources. The intern may assist the project team or departments by developing and maintaining reporting and analytical tools (Excel, Smartsheet, Power BI), cleaning data and ensuring data quality, ensuring data privacy and security, data visualization and reporting, and other duties as assigned. The Data Analyst Intern will also help prepare construction data for data science initiatives. The work commitment during the school year is roughly 20 hours per week. You will work with your team to come up with a work schedule that will allow you to achieve 20 hours per week of work time during your school year.

Requirements

• Experience in Windows and Microsoft Office 365 (Excel, Word, Outlook, Power Point and Teams) and have a general understanding of working within a computer network.
• Knowledge of, or ability to quickly learn, project management software such as Procore or Smartsheet.
• Experience with data analysis tools such as MS Power BI and Python.
• Experience with data reporting tools such as MS Power BI, Matplotlib, and Seaborn.
• Knowledge of, or experience with, Python programming and machine learning algorithms.
• Be willing to travel for up to a week to a project site that may be located outside of the Pacific Northwest.
• Demonstrate an understanding of construction and/or a willingness to learn in a fast-paced, on the job environment.
• Highly developed visual observation and interpretation skills.
• Ability to work well and maintain a cooperative attitude through high-pressure situations.
• Excellent time-management skills and ability to multi-task and prioritize work while frequently interrupted by phone calls and questions on work in progress.
• Excellent written and oral communication skills with an ability to develop strong interpersonal relationships.
• Ability to work closely with a variety of trade and craft people in a field work situation. Patience and professionalism are essential.
• Must be a strong team player with the ability to collaborate with various personnel within and across departments and at all levels of leadership.
• High School diploma or GED required.
• Must be able to pass the Hoffman Drug and Alcohol test.

Nice To Haves

• Pursuing a bachelor’s degree in Data Science, Mathematics, Statistics, Computer Science, Engineering, or equivalent degree and/or equivalent field work experience preferred.
• Education background or experience in methods of construction preferred.

Responsibilities

• Extract, transform, and load data from diverse data sources for data analysis and reporting uses.
• Check for data quality and clean data, if necessary.
• Help to maintain reports and dashboards for Department Managers and Project Managers.
• Create reports and dashboards in Power BI.
• Assist the data analyst on a construction project with duties as assigned.
• Help to mine historical construction data and improve data quality where needed.
• Assist in data strategy efforts, including updating data flowcharts and creating data swim lanes.
• Assist in data science efforts such as identifying current construction activities where machine learning or Python automation might be useful, sourcing data for data science activities, preparing data for data science activities, training, and testing machine learning algorithms, and building data science workflows.
• Host a meeting with the objective of teaching the Data team something new.
• Write and publish meeting minutes.
• Follow up on meeting action items.
• Complete data course(s) in DataCamp, Enterprise DNA, and/or LinkedIn Learning.

Benefits

• Competitive pay and advancement opportunities
• Ongoing professional training and development
• Comprehensive benefits—including free primary care for you and your family through our dedicated clinics, health insurance, paid time off, and a generous retirement plan.

What This Job Offers

• Job Type: Part-time
• Career Level: Intern
• Education Level: High school or GED