Description

We are looking for college students (preferably rising Seniors) seeking internships for the summer of 2026 in Boston. We are seeking a Data Analyst Intern to join our team and support data-driven decision-making across project management, risk analysis, and operational workflows. This role is ideal for a detail-oriented individual with strong analytical skills and an interest in construction industry data.

At Shawmut Design and Construction, we take pride in the culture we've built as a 100% employee-owned company—one that's been recognized with more than 85 Best Place to Work awards. We've been honored as a National Fortune Best Workplace, a Fortune Best Workplace for Women, Millennials, and Parents, and one of America's Best Employers by Forbes—along with numerous regional recognitions across our 11 offices nationwide.

If you decide to join Shawmut as a full -time employee in the future you will have the opportunity to own your career and deliver impact within our culture of ownership and innovation focused around providing the gold standard of client service for the world's most recognizable and elite brands and institutions.

• Collect, clean, and organize project-related data from multiple sources (ERP systems, spreadsheets, field reports).
• Assist in building dashboards and reports for project performance, cost tracking, and risk management.
• Perform data analysis to identify trends, anomalies, and actionable insights.
• Support the development of predictive models for project timelines and resource allocation.
• Collaborate with project managers and operations teams to ensure data accuracy and usability.
• Document processes and create user-friendly guides for data tools and dashboards.

• Currently pursuing a degree in Data Analytics, Statistics, Computer Science, Engineering, or a related field.
• Strong proficiency in Excel; familiarity with Power BI, Tableau, or similar visualization tools is a plus.
• Basic knowledge of SQL and data querying.
• Understanding of data cleaning and transformation techniques.
• Excellent analytical and problem-solving skills.
• Strong communication skills and ability to work in a team environment.

Preferred Skills

• Exposure to construction or project management data is a plus.
• Experience with Python or R for data analysis.
• Knowledge of KPIs relevant to construction projects (cost variance, schedule performance, etc.).

PI280576712