Technical Services Intern

The future you want is within reach. Let’s build it together. At PCL Industrial Construction Co., part of the PCL Family of Companies (PCL), we don’t just build projects—we build opportunities, careers and communities. We are 100% employee-owned, every employee has a stake in our success, and that shared commitment drives how we work, grow and lead in the construction industry. We’re a team of builders who care deeply about what we create and who we build it with. That includes you. We are not only investing in what’s next in construction, we are investing in what’s next for your career. We're looking for someone who: Is interested in data, analytics, and new technology. Enjoys using data to solve problems. Is eager to learn and improve. Can pick up new business processes and technical concepts. Is curious, takes initiative, and follows through on commitments. Pays attention to detail and takes pride in doing quality work. Works well with others and can communicate with both technical and non-technical people. As a Technical Services Intern for PCL Industrial Construction Co. you'll have the opportunity support the team in building reports and analytics that help people make better business decisions. This role is a good fit for a student who is interested in data analytics, artificial intelligence (AI), business intelligence, and new technology. Responsibilities Help analyze datasets to find useful trends, patterns, and insights. Help build and maintain dashboards, reports, and visualizations using Power BI and other analytics tools. Support data preparation, modeling, quality checks, and documentation in Microsoft Fabric and related platforms. Join discussions with stakeholders to understand what they need and help turn those needs into useful reports and insights. Explore AI tools that could improve reporting, analytics, or day-to-day business processes. Help automate reports and improve existing data workflows. Help maintain documentation and follow the team’s standards for reporting, analytics, and data governance. Take part in improvement projects that use data and technology to make work more efficient. Help prepare and share findings with the team and, when appropriate, business stakeholders. Qualifications Currently pursuing a degree in Data Science, Computer Science, Information Systems, Analytics, Statistics, Engineering, Mathematics, or a related field. Strong analytical and problem-solving skills. An interest in artificial intelligence, data analytics, business intelligence, and modern data platforms. Ability to learn new technology and understand both business and technical concepts. Strong verbal and written communication skills. Dependable, self-motivated, and willing to take initiative. Able to work independently with guidance and as part of a team. Preferred You do not need experience in every area listed below. Classroom assignments, personal projects, volunteer work, and previous jobs may all be considered. Experience with Power BI, Tableau, or another reporting tool. Familiarity with Microsoft Fabric, Azure Data Services, or another cloud data platform. Some experience with SQL, Python, R, or another data analysis tool. A basic understanding of data modeling, data visualization, or reporting. Experience analyzing data and explaining what it shows through school, personal projects, or work. Familiarity with AI, machine learning, or generative AI. Your Work Has Purpose Here PCL projects are where life happens, where communities connect, careers begin, and progress is made. Regardless of the type of project, we are building something bigger: a future that's inclusive, resilient and full of opportunity. At PCL Industrial Construction Co., we are committed to creating a workplace where everyone belongs. We value the diverse experiences, identities and perspectives our employees bring. Employment decisions are based on merit, potential and the drive to make a difference, regardless of race, gender, age, ability or background. We know everyone's needs are different, if you require accommodation during the application process, please contact and include the position and location of interest.