Data Analytics Intern - Power BI & Construction Data

Hoffman Construction Co of America; Boise (ID); On-site; USD 35,000 - 43,000; Full time

Job summary

Hoffman Construction Co of America seeks a Data Analyst Intern to support decision-making by turning diverse data into actionable insights. You will help build and maintain reporting tools (Excel, Smartsheet, Power BI), clean data for quality, and assist with data privacy and visualization across departments.

The role includes preparing construction data for data science initiatives, with a ~20 hour/week schedule during the school year.

Qualifications

• Pursuing a bachelor’s degree in Data Science, Mathematics, Statistics, Computer Science, Engineering, or related field.
• Experience with Windows and Office 365 tools (Excel, Word, Outlook, PowerPoint, Teams).
• Familiarity with Power BI and Python for data analysis and visualization.

Responsibilities

• Extract, transform, and load data from diverse sources for analysis and reporting.
• Check data quality and clean data as needed.
• Maintain reports and dashboards for Department/Project Managers.
• Create reports and dashboards in Power BI.
• Assist data analyst on construction projects.
• Mine historical construction data and improve data quality.
• Assist in data strategy and data flowchart creation.
• Support data science efforts including ML workflow prep.

Skills

Windows OS

MS Office 365

Excel

Python

Power BI

Data analysis

Data cleaning

Data visualization

Education

Bachelor’s degree in data science or related field (pursuing)

Tools

Procore

Smartsheet

Job description

Hoffman Construction Co of America seeks a Data Analyst Intern to support decision-making by turning diverse data into actionable insights. You will help build and maintain reporting tools (Excel, Smartsheet, Power BI), clean data for quality, and assist with data privacy and visualization across departments.

The role includes preparing construction data for data science initiatives, with a ~20 hour/week schedule during the school year.