Winter 2027 Co-op - Maintenance Excellence Data Analyst/Industrial Engineer

As a Winter 2027 Maintenance Excellence Data Analyst/Industrial Engineer Co‑op at Keurig Dr Pepper, you will acquire, process, analyze, and visualize manufacturing data to support operational excellence, productivity improvements, and strategic decision‑making. You will serve as the primary resource for transforming complex production, maintenance, quality, and supply‑chain data into dashboards, reports, and actionable insights, working closely with Operations, Maintenance, Engineering, Quality, Supply Chain, and Leadership teams.

Key Responsibilities

• Collect, validate, and consolidate data from manufacturing systems, including MDS, MES, Tableau, SCADA, PLC, ERP, TTR, Quality Management Systems, CMMS, and data warehouses/cloud platforms; ensure data integrity, accuracy, and consistency.
• Review Preventive Maintenance (PM) instructions and audit results to identify gaps in documentation, organization, training, materials, and performance; support development and standardization of PM processes and documentation.
• Design, develop, and maintain PM‑related materials, checklists, dashboards, and reports; create executive‑level visualizations to support strategic decision‑making.
• Analyze maintenance and PM trends to identify opportunities for process improvement; perform root‑cause analyses using maintenance and production data.
• Analyze parts consumption, equipment failures, and work‑order trends to pinpoint common issues and recurring failures.
• Support Continuous Improvement initiatives through data analysis and visualization; identify emerging trends, performance gaps, and areas requiring corrective action.
• Partner directly with Maintenance leadership to define reporting requirements, translate business needs into technical solutions, and train users on data interpretation.

Requirements

• Undergraduate currently enrolled full‑time at an accredited college or university.
• Major in Data Analytics, Computer Science, Information Systems, Industrial/Mechanical Engineering, Statistics, Mathematics, Business Analytics, or a related field.
• Experience with data analytics, business intelligence, or manufacturing analytics in a manufacturing, industrial, or automated production environment.
• Experience building enterprise‑level reports and dashboards.
• Advanced proficiency in Microsoft Excel.
• Experience using AI‑powered tools and technologies.
• Knowledge of Power BI for data visualization and reporting.
• Knowledge of Tableau for data analysis and dashboard development.
• Work authorization in the United States on a full‑time basis without the need for employer sponsorship now or in the future.

Preferred Qualifications

• Experience supporting highly automated manufacturing facilities.
• Knowledge of Lean Manufacturing principles.
• Understanding of Six Sigma methodologies.
• Experience working with large data sets and cloud‑based data platforms.

Schedule

January 4 – May 21 2027 (Winter Co‑op). Full‑time, 40 hours per week, Monday‑Friday 8:00 am – 5:00 pm. On‑site at Essex Junction, Vermont.

Pay

$31 hourly, paid bi‑weekly, plus a $5,000 sign‑on bonus paid within the first 30 days of employment.