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

Job Overview:

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 (KDP), you will responsible for acquiring, processing, analyzing, and visualizing manufacturing data to support operational excellence, productivity improvements, and strategic decision-making. This role serves as the primary resource for transforming complex production, maintenance, quality, and supply chain data into meaningful dashboards, reports, and actionable insights.

The successful candidate will work closely with Operations, Maintenance, Engineering, Quality, Supply Chain, and Leadership teams to design and maintain reporting solutions using Power BI, Tableau, MDS (Manufacturing Data System), Excel, SQL, and other analytics tools. This position plays a critical role in supporting highly automated manufacturing operations through data-driven decision making.

This role is aligned to the Coffee Operating Unit.

• The KDP 2027 Co-op Program will run from January 4th – May 21st, 2027
• Location:
  
  Essex Junction, Vermont
• Full-time; 40 hours per week
• Monday-Friday
• 8:00am until 5:00pm
• Onsite

As a Winter 2027 Maintenance Excellence Data Analyst/Industrial Engineer Co-op you will:

• Collect, validate, and consolidate data from manufacturing systems, including MDS, MES, Tableau, SCADA and PLC systems, ERP systems, TTR, Quality Management Systems, CMMS, and data warehouses/cloud platforms.
• Ensure data integrity, accuracy, and consistency across multiple systems.
• Review Preventive Maintenance (PM) instructions and audit results to identify gaps in documentation, organization, training, materials, and performance.
• Support the development and standardization of PM processes and documentation.

• Design, develop, and maintain PM-related materials, checklists, dashboards, and reports.
• Create executive-level reports and 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 identify common issues and recurring failures.
• Support Continuous Improvement initiatives through data analysis and visualization.
• Identify emerging trends, performance gaps, and areas requiring corrective action.

• Work directly with Mx leadership to define reporting requirements.
• Translate business needs into technical reporting solutions.
• Train users on data interpretation.

• Engaging and partnering on innovative projects to gain experience in a fast paced, cross functional team environment
• Receive mentor support for your professional development
• Participate in meet & greets and lunch & learns with KDP executives and other organization leaders
• Receive professional development training such as networking, professional skills development and presenting
• Complete a project from start to finish and present it and your takeaways to your team, department,and senior leaders to highlight your project work and impact on the business

• $31 hourly pay
• Paid bi-weekly
• $5,000 sign on bonus pay, paid within first 30 days of employment

• Undergraduate currently enrolled in a full time academic program from an accredited college or university, majoring in Data Analytics, Computer Science, Information Systems, Industrial/Mechanical Engineering, Statistics, Mathematics, Business Analytics, or a related field.
• Data analytics, business intelligence, or manufacturing analytics.
• Working within a manufacturing, industrial, or automated production environment.
• 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

• 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.

You must be work authorized in the United States on a full-time basis without the need for employer sponsorship now or in the future. The Company cannot offer employment to F-1…