Data Analyst Intern Summer - Idaho
Listed on 2026-03-11
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IT/Tech
Data Analyst, Data Science Manager
Build What Matters. Create What's Next.
Hoffman Construction is a forward-thinking, self-performing builder specializing in technically complex, sustainable projects across advanced technology, mission critical, life sciences, healthcare, higher education, and commercial markets. Since 1922, we’ve grown from entrepreneurial roots into a multi-billion-dollar, employee-owned enterprise—now a dynamic family of companies with a national presence and a legacy of excellence.
At Hoffman Construction, your potential has room to grow. Whether you're on a jobsite or in a corporate office, you’ll be empowered to take initiative, explore new paths, and shape the future of construction. We believe in building opportunity together—by unlocking talent, inspiring innovation, and driving forward the ideas that make a difference.
Join us and benefit from:
- Competitive pay and advancement opportunities
- Ongoing professional training and development
- A culture rooted in inclusion, collaboration, and respect.
We’re hiring across all departments. Discover your future with us.
Position SummaryThe 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.
EssentialResponsibilities
- 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 Data Camp, Enterprise DNA, and/or Linked In Learning.
Professional Experience and
Education:
- High School diploma or GED required.
- 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.
- Experience in Windows and Microsoft Office 365 (Excel, Word, Outlook, PowerPoint, 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…
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