Data and Analytics Intern at Tutor Perini Corporation in Sylmar, CA

Summary: Tutor Perini Corporation is a leading civil, building, and specialty construction company seeking a Data and Analytics Intern to support key initiatives within their DART program. The intern will engage in data engineering, AI, and Power BI report development, gaining hands-on experience with modern data tools in a collaborative environment focused on construction and infrastructure. Responsibilities: - Support the development, testing, and optimization of ETL/ELT data pipelines - Assist in integrating datasets into Fabric environments like OneLake for downstream use in Power BI and analytics - Design and develop custom data Agents using tools like Microsoft AI Studio - Catalog priority datasets across business units using TPC’s metadata tools - Populate and standardize metadata fields, lineage, glossary entries, and ownership details - Support data governance goals by contributing to an enterprise-wide metadata library - Create, refine, and document impactful Power BI dashboards aligned with business KPIs - Work with business users to gather requirements, test visualizations, and iterate on design - Promote self-service analytics through clean, intuitive, and well-documented reporting solutions Required Qualifications: - Currently pursuing a Bachelor's degree in Data Analytics, Computer Science, Mathematics, or a related field - Basic proficiency one of the following: Python, Spark, or similar scripting language - Some familiarity with tools like Power BI, Excel, and/or data visualization principles - Strong analytical mindset and attention to detail; ability to manage tasks with minimal supervision - Interest in or exposure to cloud platforms like Microsoft Fabric, including tools such as Data Factory, Synapse, or Fabric - Strong written and verbal communication skills - A collaborative and curious mindset — eager to learn and contribute across projects Preferred Qualifications: - Experience or coursework related to data lakehouse architecture - Exposure to metadata tools such as Microsoft Purview, Alation, or Collibra - SQL and Power BI proficiency including DAX, M-Query, data modeling, and report UX best practices - Interest in construction technologies, infrastructure systems, or large-scale project management Required Skills: Python, Spark, Power BI, Excel, Data visualization, Cloud platforms, Microsoft Fabric, Data Factory, Synapse, ETL/ELT data pipelines, Data lakehouse architecture, Metadata tools, SQL, DAX, M-Query, Data modeling, Analytical mindset, Curiosity