Novartis is inviting applications for the Intern – CE Operations position at its Hyderabad office. The internship offers hands-on exposure to operational excellence, data analytics, process improvement, and digital enablement.
The selected intern will support day-to-day operations, assist with reporting and dashboards, identify process improvement opportunities, document operational workflows, and contribute to digital initiatives involving tools such as Power BI, Dataiku, Power Apps, and AI/Copilot.
Novartis Intern – CE Operations Recruitment 2026: Job Details
| Particulars | Details |
|---|---|
| Company | Novartis |
| Job Role | Intern – CE Operations |
| Job Requisition ID | REQ-10090013 |
| Job Location | Hyderabad (Office) |
| Employment Type | Full-time |
| Application Deadline | 18 October 2026 |
Position Details
The Intern – CE Operations will contribute to business initiatives focused on operational efficiency, data quality, process simplification, and digital transformation. The role involves collaborating with team members and stakeholders to improve operational processes and support ongoing projects.
Key Responsibilities
- Support day-to-day CE Operations activities and projects.
- Assist with data analysis, reporting, dashboard development, and data quality checks.
- Identify opportunities for process simplification, automation, and improved efficiency.
- Document processes, standard operating procedures (SOPs), and operational workflows.
- Contribute to digital initiatives involving Power BI, Dataiku, Power Apps, and AI/Copilot.
- Collaborate with team members and stakeholders on key operational initiatives.
Eligibility and Qualifications
The supplied job description does not include specific educational qualifications or experience requirements.
Relevant Tools and Areas of Work
The internship involves exposure to the following tools and functional areas:
- Power BI: Data reporting and dashboards.
- Dataiku: Digital and data-related initiatives.
- Power Apps: Process enablement and digital solutions.
- AI/Copilot: Support for digital initiatives.
- Data Analytics: Data analysis, reporting, and quality checks.
- Process Improvement: Workflow documentation, simplification, and operational efficiency.
