ENGINEER VEHICLE DATA ANALYSIS

About Us

At CNH, we're driven by a clear purpose: we serve and advance the people who feed and build a growing world.

As a global leader in agriculture and construction, we create the equipment, technology, and solutions that help our customers work more productively and sustainably. Our success starts with our people, and we foster a collaborative culture where innovation thrives and every employee has the opportunity to grow.

Grow a Career. Build a Future.

If you're ready to make an impact and build a career with purpose, there's a place for you at CNH.

Job Purpose

The Data Analytics role is responsible for transforming large-scale engineering, warranty, telematics, product, and operational data into actionable insights that improve product quality, business performance, and customer satisfaction. The position partners with Product Engineering, platform, Manufacturing, Quality, Current Product Management, and Business Leadership teams to develop advanced analytics, KPI reporting solutions, AI-powered insights, and digital transformation initiatives. The role focuses on establishing enterprise data governance, developing real-time reporting capabilities, executing AI and Machine Learning initiatives, building scalable data architectures, and delivering dashboards that enable strategic and operational decision-making across global Agricultural (AG) product lines. The position also supports digital product development through Power Apps, Databricks, Python, Generative AI, and advanced analytics solutions

Key Responsibilities

• Collect, validate, and analyze warranty, telematics, ADPU, NPS, and quality data to identify failure patterns, product performance trends, and customer-impacting issues.
• Perform trend, Pareto, root-cause, and predictive analytics to prioritize quality improvements and support Strategic Development Projects (SDPs).
• Develop dashboards, KPI reports, and analytical solutions (F100, ACPU, warranty, quality, and engineering performance metrics) to enable data-driven decision-making.
• Execute projects leveraging Power Apps, Artificial Intelligence (AI), Machine Learning (ML), and automation technologies to improve productivity, quality, and business processes.
• Partners with Product Engineering, Current Product Management, and Manufacturing teams to investigate issues, support in implementing corrective actions, and enhance product reliability.
• Analyze vehicle telemetry and usage data from multiple platforms to identify opportunities for product enhancements, predictive insights, customer support, and service optimization.
• Design and maintain enterprise data solutions, automated workflows, Power Apps, and reporting platforms that integrate diverse data sources and streamline operations.
• Advance analytics, AI/ML capabilities, automation, data governance, and engineering content management practices to increase efficiency, accuracy, and business value.
• Transform complex data into actionable intelligence, enabling fact-based decisions, continuous improvement, and quality excellence across global AG product lines.

Experience Required

• Experience in Advanced Analytics, Data Engineering, and Business Intelligence Solutions.
• Experience working with Python, Databricks, SQL, Power BI, Power Query, Excel, Power Apps, and Qlik Sense.
• Support in developing and deploying Artificial Intelligence (AI), Machine Learning (ML), and Generative AI solutions.
• Experience working with large-scale structured and unstructured datasets, cloud-based data platforms, and data lake environments.
• Strong understanding of KPI management, dashboard development, reporting automation, and data visualization techniques.
• Experience in working on data like telematics, warranty, engineering performance, bill of material or quality.
• Knowledge of Azure DevOps, Microsoft 365, Microsoft Azure databrick, and enterprise reporting ecosystems is preferred.
• Experience supporting digital transformation, automation, and process improvement initiatives.
• Strong written and verbal communication skills with the ability to influence cross-functional stakeholders.
• 2 to 6 years of prior work experience in data analysis using statistical tools and providing inferences along with recommendations

Preferred Qualifications

Bachelor’s degree in engineering (Mechanical / Electrical / Computer Science) or similar

What We Offer

We offer dynamic career opportunities across an international landscape. As an equal opportunity employer, we are committed to delivering value for all our employees and fostering a culture of respect.

At CNH, we understand that the best solutions come from the diverse experiences and skills of our people. Here, you will be empowered to grow your career, to follow your passion, and help build a better future. To support our employees, we offer regional comprehensive benefits.