Supply Chain Data Analytics Co-op - Fall 2026
- Applicants must be currently enrolled in a bachelor's or master's degree program. Applicants must be currently authorized to work in the United States on a full-time basis and be available from July 13, 2026 through December 4, 2026. We have a hybrid work environment that requires a minimum of three days a week in the office. Please submit your resume including your cumulative GPA. Transcripts may be requested at a future date.**
- Approximate 6-month Co-op session with competitive pay
- Impactful project work to develop your skills/knowledge
- Career assistance & mentoring in obtaining full time positions within ADUSA
- Leadership speaker sessions and development activities
- One-on-one mentoring in your area of interest
- Involvement in group community service events
- Networking and professional engagement opportunities
- Access to online career development tools and resources
- Opportunity to present project work to company leaders and gain executive visibility
- Must be enrolled in a BS/MA, MS, or a recent graduate in a related field
- Experience or basic understanding of predictive modelling techniques and Machine Learning Models such as k-nearest neighbors, multiple-regression, neural networks, etc.
- Experience or basic understanding of forecasting techniques such as ARIMA, ETS, etc.
- Visualization expertise using tools such as Tableau, PowerBI, QuickSight, etc.
- Experience with Microsoft Azure/ AWS/ GCP or any other cloud technology
- SQL Server Management Studio (SSMS), SQL Server Integration Services (SSIS)
- Strong Knowledge of relational databases, SQL and Python
- Comprehension of key supply chain fields: logistics, warehousing, demand management, etc.
- Understanding agile development methodologies and concepts; experience with is a plus
- Ability to translate business needs into operational dashboards and models through PowerBI
- Experience or knowledge of predictive modelling techniques and Machine Learning Models such as k-nearest neighbors, multiple-regression, neural networks, etc.
- Experience or knowledge of forecasting techniques such as ARIMA, ETS, etc.
- Experience or knowledge using SQL, Python, Scala is a plus
- Passion for using analytics to drive operational change in supply chain
- Passion for solving complex business problems
- Relational Database Management Systems (RDBMS)
- Must be able to adapt quickly to change without being afraid to take on new responsibilities in a fast-paced team environment while being proactive and action-oriented
- Strong verbal, written and listening skills
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