SENIOR ENGINEER WARRANTY DATA ANALYSIS

CNH; Gurugram District; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

CNH is seeking a Senior Data Analyst for AG Products Warranty & Telematics to analyze warranty, telematics, and engineering data, identifying quality trends and enabling data-driven decisions across Agricultural products. You will collaborate with engineering, manufacturing, and product teams to monitor KPIs and drive continuous improvement.

You will lead analytics, AI/ML, and automation initiatives, mentor teammates, and develop dashboards and reporting solutions that integrate diverse data

Qualifications

• Strong hands-on experience with Databricks, Python, SQL, Power BI, Power Apps, AI/ML, and enterprise analytics platforms.
• Proven ability to work with multiple Databricks tables, understand business data structures, identify datasets, and transform raw data into business-ready information.
• Experience with large-scale structured and unstructured datasets, cloud-based data platforms, and data lake environments.
• Strong KPI management, dashboard development, reporting automation, and data visualization techniques.
• Experience collaborating with Business Data Owners, IT Architects, Data Engineers, and business stakeholders to deliver data solutions.
• Leading technical projects and delivering end-to-end analytics, automation, AI/ML, or reporting initiatives.
• Mentor and guide team members on analytics, data engineering, AI/ML, Generative AI, and Power Platform projects.
• Establish analytics standards, development best practices, reusable frameworks, and technical governance.
• Experience working with global cross-functional teams and communicating technical concepts to business stakeholders.
• Agricultural, manufacturing, heavy equipment, or industrial domain experience is preferred.
• 8 to 10 years of prior work experience in data analysis, BI, data engineering, AI/ML, or related fields

Responsibilities

• Collect, validate, and analyze warranty, telematics, ADPU, NPS, and quality data to identify failure patterns and trends.
• Conduct trend, Pareto, root-cause, and predictive analytics to prioritize quality improvements.
• Develop dashboards and KPI reports to enable data-driven decision-making.
• Lead projects leveraging Power Apps, AI/ML, and automation to improve productivity and processes.
• Provide technical leadership and mentoring for analytics, AI/ML, Generative AI, Databricks, and Power Platform initiatives.
• Collaborate with Product Engineering, Current Product Management, and Manufacturing to investigate issues and implement corrective actions.
• Analyze vehicle telemetry and usage data to identify opportunities for product enhancements and service optimization.
• Design and maintain enterprise data solutions, automated workflows, Power Apps, and reporting platforms.
• Advance analytics, governance, and engineering content management practices to increase efficiency and value.
• Transform complex data into actionable intelligence to support global AG product quality initiatives.

Skills

Databricks

Python

SQL

Power BI

Power Apps

AI/ML

Enterprise analytics platforms

Education

Bachelor's degree in engineering (Mechanical / Electrical / Computer Science)

Master's Degree in Data Analytics, Data Science, Artificial Intelligence, or Engineering is preferred

Tools

Databricks

Power BI

Power Apps

Job description

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 Senior Data Analyst – AG Products Warranty & Telematics role is responsible for analyzing warranty, telematics, and engineering performance data to identify product quality trends, drive continuous improvement, and support data-driven decision-making across Agricultural (AG) products. The position collaborates closely with Product Engineering, Current Product Teams, Manufacturing, and other stakeholders to monitor key quality and performance KPIs, including F100, ACPU, and engineering effectiveness metrics. The role focuses on reviewing, categorizing, and interpreting warranty failure data, telematics insights, hydraulic system performance, ADPU, NPS, and other operational datasets to support product development and quality improvement initiatives. Additionally, the position is responsible for analyzing telemetry and Telemaco data from multiple platforms to enhance product reliability, customer experience, and service support, while also contributing to the development and maintenance of engineering content management solutions. The role focuses on providing technical leadership and mentoring to team members.

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.
• Lead and execute projects leveraging Power Apps, Artificial Intelligence (AI), Machine Learning (ML), and automation technologies to improve productivity, quality, and business processes.
• Provides technical leadership and mentoring to team members while driving the successful delivery of analytics, AI/ML, Generative AI, Databricks, and Power Platform projects across the organization.
• 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

• Strong hands-on experience with Databricks, Python, SQL, Power BI, Power Apps, AI/ML, and enterprise analytics platforms.
• Proven ability to work with multiple Databricks tables, understand business data structures, identify relevant datasets, and transform raw data into business-ready information.
• 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 collaborating with Business Data Owners, IT Architects, Data Engineers, and business stakeholders to define and deliver data solutions.
• Demonstrated experience leading technical projects and delivering end-to-end analytics, automation, AI/ML, or reporting initiatives.
• Proven ability to mentor, coach, and provide technical guidance to team members on analytics, data engineering, AI/ML, Generative AI, and Power Platform projects.
• Experience establishing analytics standards, development best practices, reusable frameworks, and technical governance processes within a team environment.
• Experience working with global cross-functional teams and communicating technical concepts to business stakeholders.
• Agricultural, manufacturing, heavy equipment, or industrial domain experience is preferred.
• 8 to 10 years of prior work experience in data analysis Data Analytics, Business Intelligence, Data Engineering, AI/ML, Digital Transformation, or related fields

Preferred Qualifications

Bachelor's degree in engineering (Mechanical / Electrical / Computer Science

Master's Degree in Data Analytics, Data Science, Artificial Intelligence, or Engineering is preferred

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.

Our Engineering & Technical Team

Explore the exciting and rewarding career opportunities in our engineering and technical departments, where you can grow your skills and experience, advance your career, and meet customer needs with innovative solutions.

Technology Creates New Opportunities to Feed the World

We partner with customers and listen to their needs, using their feedback to innovate technology that utilizes connectivity, computer vision, and artificial intelligence.

We have shaped the history of agriculture with pioneering firsts spanning over three centuries.

CNH Industrial (NYSE: CNH) is a world-class equipment, technology and services company. The Company operates commercially through its brand portfolio which includes Case IH, New Holland, CASE and New Holland Construction Equipment.