About this role
Position Title: Data Analytics & AI Co-op Number of Positions: 1 Duration: 4 months Date: August-December 2026 Location: Onsite, Hybrid - Dallas, TX Educational Recommendations: Currently enrolled in a Bachelor’s or Master’s degree program in a quantitative field such as Data Science, Statistics, Finance, Economics, Computer Science, or a related field at an accredited university in the US.
• Build, maintain, and improve analytical solutions, including preparing datasets for analysis, exploration, and visualization
• Develop dashboards and reports that translate complex data into clear, actionable insights
• Apply appropriate analytical techniques and tools based on the structure and quality of available data
• Document and present analysis workflows, findings, and recommendations to both technical and non-technical stakeholders
• Support continuous improvement initiatives aimed at forecasting accuracy, automation, and data reliability
• Strong analytical foundation (statistics, time-series analysis, or basic machine learning concepts)
• Able to work with complex, multi-dimensional datasets
• Familiar with Power BI or similar data visualization tools
• Curious, proactive, and able to translate business needs into technical solutions in a collaborative environment
• It would be nice if you had:
• Cost forecasting or financial planning (e.g., variance analysis, scenario modeling, driver-based planning)
• AI-enabled productivity tools, including model documentation, validation, or monitoring concepts
• Data processing or modeling using SQL, Python, or R
• Process automation or workflow optimization tools