Reliability Analytics & Quality Insights Lead

John Deere; Iowa (LA); On-site; USD 90,000 - 120,000; Full time

Job summary

John Deere is seeking a Reliability Business Analyst to drive quality analytics and data-driven decision-making at our Waterloo, IA site. You will build dashboards and integrate diverse data sources to identify risks and opportunities, partnering with Quality, Manufacturing, and Engineering teams to implement data-driven improvements.

The role emphasizes leading indicators, predictive analytics, and governance to strengthen JDPS quality systems and enable strategic decisions.

Qualifications

• Bachelor’s degree in a relevant field; advanced degree preferred.
• Experience applying data analytics to quality, reliability, manufacturing, or product development.
• Strong ability to analyze data, generate insights, and influence decisions.

Responsibilities

• Develop and maintain analytics, dashboards, and reporting across JDPS.
• Integrate customer, warranty, manufacturing, supplier, and engineering data to identify trends and risks.
• Generate actionable insights for proactive quality management and business decisions.
• Collaborate with Product Quality, Supplier Quality, Factory Quality, and Reliability Engineering teams.
• Develop leading indicators, predictive analytics, and automation tools.
• Drive data governance, metric standardization, and continuous improvement.
• Communicate complex analyses to technical and business stakeholders.
• Support digital transformation initiatives strengthening quality systems and processes.

Skills

Data analysis

Analytical thinking

Communication

Cross-functional collaboration

Quality analytics

Education

Bachelor's degree

Advanced degree

Coursework in analytics / data science

Tools

Power BI

SQL

Python

Databricks

Job description

John Deere is seeking a Reliability Business Analyst to drive quality analytics and data-driven decision-making at our Waterloo, IA site. You will build dashboards and integrate diverse data sources to identify risks and opportunities, partnering with Quality, Manufacturing, and Engineering teams to implement data-driven improvements.

The role emphasizes leading indicators, predictive analytics, and governance to strengthen JDPS quality systems and enable strategic decisions.