Data Analytics Co-op

Role overview

Responsibilities

• Gather and organize data from business, quality, manufacturing, and operational sources.
• Validate data quality, investigate discrepancies, and document methods and corrections.
• Clean, structure, integrate, and analyze datasets; use SQL and appropriate statistical methods.
• Identify trends and insights relevant to quality, manufacturing, and business needs.
• Prepare and present reports, visualizations, recommendations, and analytical summaries to cross-functional partners.

Required qualifications

• Current third- or fourth-year undergraduate in an analytics-based program or a related listed field; must remain enrolled after the co-op.
• Strong data analysis, SQL, Excel, attention to detail, and data accuracy skills.
• Able to adapt analysis, integrate and extract datasets, manage multiple assignments, and collaborate effectively.

Preferred qualifications

• Written and verbal communication skills.
• Experience with R or Python, statistical analyses such as regression, decision trees, or clustering, and reports or data visualizations.
• Interest in quality systems, manufacturing, operations, or consumer packaged goods; able to explain technical findings to varied audiences.

Co-op learning opportunities

• Gain hands-on experience across data gathering, validation, modeling, interpretation, and presentation.
• Build skills in SQL, Excel, statistical analysis, data visualization, and communicating actionable insights.
• Learn about manufacturing operations and quality systems.