Data Analytics Intern — Summer 2027 (Housing Provided)

Ragle Inc; North Richland Hills (TX); On-site; USD 37,000 - 40,000; Full time

Benefits offered by this job

Housing provided

Mentorship from experienced pros

Job summary

Ragle Inc in North Richland Hills, TX, is seeking a Data Analytics Intern for Summer 2027. This 10-week program runs 40 hours per week with housing provided for eligible interns, and pays $27.50 per hour.

You'll build and maintain dashboards in Power BI, analyze project data with Python and SQL, automate repetitive tasks, and support KPI tracking across projects while collaborating with project controls, operations, and IT to deliver real analytics projects.

Qualifications

• Currently pursuing a Bachelor's or Master's degree in Data Analytics, Data Science, Computer Science, Engineering, Information Systems, Construction Management, or a related field
• Basic experience with Power BI, Python, SQL through coursework, projects, or previous experience
• Strong analytical and problem-solving skills

Responsibilities

• Build and maintain dashboards and reports in Power BI
• Analyze project and operational data to identify trends and insights
• Use Python and SQL to support reporting and automation
• Help automate manual and repetitive processes
• Support KPI tracking across construction projects
• Work with project controls, operations, and IT teams
• Contribute to real analytics projects that impact the business

Skills

Power BI

Python

SQL

Analytical thinking

Problem solving

Communication

Teamwork

Education

Bachelor's or Master's degree in Data Analytics, Data Science, Computer Science, Engineering, Information Systems, Construction Management

Job description

Ragle Inc in North Richland Hills, TX, is seeking a Data Analytics Intern for Summer 2027. This 10-week program runs 40 hours per week with housing provided for eligible interns, and pays $27.50 per hour.

You'll build and maintain dashboards in Power BI, analyze project data with Python and SQL, automate repetitive tasks, and support KPI tracking across projects while collaborating with project controls, operations, and IT to deliver real analytics projects.