CNH Intern Data Analytics – Gurgaon: Requisition ID 5850
CNH is hiring for an Intern Data Analytics position in Gurgaon, India. The opportunity falls under the Research and Development category and is listed as an Intern or Co Op role with a fully on-site working arrangement.
The role focuses on turning large-scale engineering, warranty, telematics, product and operational data into actionable insights. Interns will work with analytics, dashboards, KPI reporting, data engineering, AI and machine learning initiatives, and digital product development.
The position also provides exposure to tools and technologies including Python, Databricks, SQL, Power BI, Power Query, Excel, Power Apps and Qlik Sense.
CNH Intern Data Analytics – Overview
| Particular | Details |
|---|---|
| Company | CNH |
| Role | Intern Data Analytics |
| Requisition ID | 5850 |
| Location | Gurgaon, India |
| Category | Research and Development |
| Job Type | Intern or Co Op |
| Work Mode | Fully On-Site |
| Primary Areas | Data Analytics, Data Engineering, Business Intelligence |
| Key Tools | Python, Databricks, SQL, Power BI, Power Query, Excel, Power Apps, Qlik Sense |
| Preferred Education | Bachelor’s degree or post graduation in Engineering or similar |
| Salary/Stipend | Not specified |
| Internship Duration | Not specified |
| Application Deadline | Not specified |
About CNH
CNH describes itself as a company focused on agriculture and construction, with an emphasis on innovation, sustainability and productivity.
Its technology and product development work includes solutions intended to improve customer efficiency and productivity. The company also highlights precision technologies and products designed to support farmers and builders.
For this position, the intern will work with data connected to global Agricultural (AG) product lines, making the role relevant to candidates interested in the intersection of data analytics, engineering and industrial technology.
About the CNH Intern Data Analytics Role
The Intern Data Analytics position involves working with large datasets generated across engineering, warranty, telematics, product and operational functions.
The objective is to transform this information into actionable insights that can support:
- Product quality.
- Business performance.
- Customer satisfaction.
- Operational improvements.
- Strategic decision-making.
- Product development.
The role also includes learning and developing real-time reporting capabilities, supporting AI and machine learning initiatives, building scalable data architectures and creating dashboards for business and operational decisions.
Key Responsibilities
Data Collection and Analysis
The intern will collect, integrate, validate and analyse datasets from multiple enterprise sources.
The data may include:
- Warranty data.
- Telematics data.
- Bill of material data.
- Engineering data.
- Operational data.
The role therefore involves working with different types of engineering and business information rather than a single data source.
Dashboards and KPI Reporting
The intern will develop and maintain real-time dashboards, KPI scorecards and analytics platforms.
These tools are intended to provide leadership with visibility into business and operational performance and support data-driven decision-making.
Trend and Root-Cause Analysis
The role includes several analytical techniques, including:
- Trend analysis.
- Pareto analysis.
- Root-cause investigation.
- Predictive analytics.
- Performance benchmarking.
These activities are intended to identify opportunities for improving product quality and productivity.
Power Apps and Workflow Automation
The intern will also develop and maintain Power Apps, automated workflows and low-code solutions.
The objective is to streamline business operations and reduce manual work.
Cross-Functional Collaboration
The role involves working with multiple teams, including:
- Engineering.
- Manufacturing.
- Finance.
- Product Management.
- Quality.
The intern will help align metrics, priorities and improvement initiatives across these functions.
KPI Governance and Reporting Standards
Another responsibility is establishing standardised KPI definitions, reporting templates, governance processes and best practices.
These activities are intended to improve the consistency and accuracy of reporting.
Technical Skills and Experience
The official job description lists experience in Advanced Analytics, Data Engineering and Business Intelligence Solutions.
Candidates are expected to have experience working with:
- Python
- Databricks
- SQL
- Power BI
- Power Query
- Excel
- Power Apps
- Qlik Sense
The role also requires an understanding of:
- KPI management.
- Dashboard development.
- Reporting automation.
- Data visualisation.
Domain Data Experience
The job description specifically mentions experience working with data such as:
- Telematics.
- Warranty.
- Engineering performance.
- Bill of material.
- Quality data.
This indicates that the position involves analytics applied to engineering and industrial product data.
Candidates with experience in these areas can therefore demonstrate relevance to the role.
Preferred Technologies
Knowledge of the following is preferred:
- Azure DevOps.
- Microsoft 365.
- Microsoft Azure Databricks.
- Enterprise reporting ecosystems.
The role also requires strong written and verbal communication skills, including the ability to influence cross-functional stakeholders.
Educational Qualification
CNH lists a Bachelor’s degree or post graduation in Engineering, with Mechanical, Electrical and Computer Science specifically mentioned, or a similar field.
The source does not specify a CGPA, percentage requirement, graduation year or age limit.
CNH Intern Data Analytics – Internship Type
The position is classified as Intern or Co Op.
The supplied job description does not state the internship duration, working hours or whether the role can convert into a full-time position.
Those details should be confirmed through the recruitment process.
Selection Process
The job description does not specify the recruitment or selection stages.
It does not confirm whether applicants will have:
- An online assessment.
- A technical test.
- A data analytics assignment.
- Interviews.
- HR rounds.
- Multiple selection stages.
Candidates should refer to official communication from CNH for the applicable process.
What You Can Gain From the Role
The position offers exposure to several areas of modern data and industrial analytics, including:
- Advanced analytics.
- Data engineering.
- Business intelligence.
- Real-time reporting.
- Dashboard development.
- KPI management.
- Predictive analytics.
- AI and machine learning initiatives.
- Data visualisation.
- Workflow automation.
- Power Apps.
- Databricks.
- Enterprise data environments.
The role also provides cross-functional exposure through collaboration with Engineering, Manufacturing, Finance, Product Management and Quality teams.
Who Should Apply?
This opportunity may be relevant for candidates who:
- Have an engineering background in Mechanical, Electrical, Computer Science or a similar field.
- Are interested in data analytics applied to industrial or engineering problems.
- Have experience with Python and SQL.
- Are familiar with BI and dashboard tools.
- Have worked with Power BI, Databricks or similar platforms.
- Understand KPI reporting and data visualisation.
- Are interested in AI and machine learning applications.
- Want exposure to engineering and operational datasets.
- Can communicate effectively with cross-functional teams.
- Are comfortable working fully on-site in Gurgaon.
Frequently Asked Questions
What is the CNH Intern Data Analytics role?
It is an internship or co-op position in CNH’s Research and Development function, focused on analysing engineering, warranty, telematics, product and operational data.
What is the CNH Intern Data Analytics Requisition ID?
The requisition ID is 5850.
Where is the internship located?
The position is based in Gurgaon, India.
Is the CNH Data Analytics internship remote?
No. The official listing specifies that the position is Fully On-Site.
What educational qualification is preferred?
CNH lists a Bachelor’s degree or post graduation in Engineering, preferably in Mechanical, Electrical, Computer Science or a similar field.
What technical skills are required?
The job description mentions Python, Databricks, SQL, Power BI, Power Query, Excel, Power Apps and Qlik Sense, along with knowledge of advanced analytics, data engineering, business intelligence, KPI management and dashboard development.
Does the role involve AI and machine learning?
Yes. The job purpose specifically mentions supporting AI and Machine Learning initiatives, along with Generative AI and advanced analytics solutions.
What type of data will the intern work with?
The role may involve warranty, telematics, bill of material, engineering and operational datasets, as well as data related to engineering performance and product quality.
Is the stipend specified?
No. The supplied job description does not provide a stipend amount.
What is the internship duration?
The duration is not specified in the available job description.
What is the selection process?
The job description does not provide details of the selection process.