ENGINEER VEHICLE DATA ANALYSIS

ENGINEER VEHICLE DATA ANALYSIS

Requisition ID:

6171

Job Location:

Gurgaon - India

Category:

Research and Development

Job Type:

Full Time

Working Mode:

Fully On-Site

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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.

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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.

discover more about engineering & technical

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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.

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CNH: A HISTORY OF FIRSTS

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

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BUILD A CAREER DOING MEANINGFUL WORK

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(SPEECH)[MUSIC PLAYING]

(DESCRIPTION) Breaking New Ground: Innovation Sustainability Productivity

(SPEECH) TIM ROSZHART: Farmers have a really important job, not just helping to grow the food that feeds all of us but to do it in a way that’s sustainable for us as a people and us as a planet.

DAN ESLINGER: CNH partners with our customers to enable their business to operate. That’s through the use of technology, deployment of capital, dealer and support networks, and everything that’s required for them to operate their business successfully.

TIM ROSZHART: So for those workers that were blessed enough to get into the ag industry into farming, it’s really around how do we amplify or expand the capabilities of what they can get done.

MATT AMES: It’s an exciting time for the tractors and for the farmers as these technologies mature and these designs are put into use and are going to be rolled out to our customers.

TIM ROSZHART: With technology, we’re able to make decisions that care for every square foot of ground. It’s a great way to take interest in connectivity and mobile apps, artificial intelligence, and computer vision, these things that we see in other industries, in automotive, even in the gaming industry, and others and how to– can actually bring those interests and those passions and those skills and use it for this great purpose to help feed the world. That’s pretty cool.

(DESCRIPTION) Text, Innovate with Us, www dot CNH dot com

Strips of metallic red, silver and gray whoosh, Logo, C N H I, Industrial

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(SPEECH)[MUSIC PLAYING]

(DESCRIPTION) Sunrays beaming down over a wheat field.

(SPEECH) SPEAKER: The pace of change has always been fast.

(DESCRIPTION) Tractors plow through a field.

(SPEECH) CNH and our brands have never stood still.

(DESCRIPTION) Black-and-white photographs of equipment from days gone by.

(SPEECH) Our legacy is farming’s progress.

(DESCRIPTION) Text, 1869, First steam engine tractor. 1892, First gasoline-powered tractor.

(SPEECH) We have written the history of agriculture for over 180 years,

(DESCRIPTION) 1904, First all-steel thresher.

(SPEECH) always innovating for the farmer, our custom