Reliability Business Analyst

There are over 7 billion people on this planet. And by 2050, there will be 2 billion more... many moving into urban centers at an unprecedented rate. Making sure there is enough food, fiber and infrastructure for our rapidly growing world is what we're all about at John Deere. And it's why we're investing in our people and our technology like never before!

Here the world's brightest minds are tackling the world's biggest challenges. If you believe one person can make the world a better place, we'll put you to work. RIGHT NOW.

John Deere is an equal opportunity employer, including disabled & veterans.

• Develop and maintain quality analytics, dashboards, and reporting capabilities across JDPS.
• Integrate customer, warranty, manufacturing, supplier, and engineering data to identify trends, risks, and improvement opportunities.
• Generate actionable insights that enable proactive quality management and support business decision-making.
• Partner with Product Quality, Supplier Quality, Factory Quality, Customer Support, and Reliability Engineering teams to address quality challenges through data-driven solutions.
• Develop leading indicators, predictive analytics, and automation tools to improve visibility to emerging quality risks.
• Drive quality data governance, metric standardization, and continuous improvement of analytical capabilities.
• Communicate complex analyses and recommendations to technical and business stakeholders.
• Support digital transformation initiatives that strengthen JDPS quality systems, processes, and organizational capability.

VISA Sponsorship is NOT available for this position

• Experience analyzing complex data sets and developing actionable insights.
• Proficiency with data analytics and visualization tools such as Power BI, SQL, Python, and Databricks.
• Strong analytical, problem-solving, and communication skills with the ability to influence decisions across cross-functional teams.
• Experience applying data-driven approaches to quality, reliability, manufacturing, or product development challenges

• Advanced analytics and data science expertise with experience in AI, machine learning, statistical modeling, and automation.
• Strong business acumen with the ability to connect customer, product, factory, and supplier data to identify risks and improvement opportunities.
• Experience leading digital transformation and influencing strategic decisions through data-driven insights.

• Bachelor’s degree in Engineering, Data Science, Statistics, Computer Science, or related field.
• Advanced degree preferred.
• Coursework or experience in analytics, quality, reliability, machine learning, or data science is desirable.

At John Deere, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. Here, you'll enjoy the freedom to explore new projects, the support to think outside the box and the advanced tools and technology that foster innovation and achievement. Additionally, we offer a comprehensive reward package to help you get started on your new career path, including: