About The 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