Data Analytics & Industrial Engineering Co-op

Keurig Dr Pepper Inc.; Essex Junction (VT); On-site; USD 35,000 - 50,000; Full time

Benefits offered by this job

Sign-on bonus not listed

Job summary

Keurig Dr Pepper Inc. in Vermont is seeking a Winter 2027 Maintenance Excellence Data Analyst/Industrial Engineer Co-op to transform manufacturing data into dashboards and insights.

You will work with Operations, Maintenance, Engineering, Quality, and Supply Chain teams to design reporting solutions using Power BI, Tableau, MDS, Excel, SQL, and other analytics tools. Responsibilities include collecting and validating data from MES, SCADA, ERP and data warehouses, creating executive-level

Qualifications

• Currently enrolled in an undergraduate full-time program in a relevant field.
• Experience with data analytics, BI, or manufacturing analytics.
• Working in a manufacturing, industrial, or automated environment.
• Experience building enterprise-level reports and dashboards.
• Advanced proficiency in Microsoft Excel.
• Knowledge of Power BI and Tableau for data visualization.

Responsibilities

• Collect, validate, and consolidate data from manufacturing systems (MDS, MES, Tableau, SCADA, PLC, ERP).
• Design, develop, and maintain PM-related dashboards and reports.
• Analyze maintenance trends and identify opportunities for process improvements.
• Partner with leadership to define reporting requirements and train users.

Skills

Data analytics

Manufacturing analytics

Power BI

Tableau

Excel

SQL

MDS

AI tools

Tools

Power BI

Tableau

SQL

Excel

MDS

Job description

Keurig Dr Pepper Inc. in Vermont is seeking a Winter 2027 Maintenance Excellence Data Analyst/Industrial Engineer Co-op to transform manufacturing data into dashboards and insights.

You will work with Operations, Maintenance, Engineering, Quality, and Supply Chain teams to design reporting solutions using Power BI, Tableau, MDS, Excel, SQL, and other analytics tools. Responsibilities include collecting and validating data from MES, SCADA, ERP and data warehouses, creating executive-level