Overview
An internship in Field Operations supporting data-driven field and commercial execution processes, analytics, reporting and field performance deliverables.
What you'll do
- Support data-driven field/commercial execution processes
- Perform analytics, including trend identification and variance analysis
- Build and perform automated data validation and quality checks on input datasets
- Assist in preparing dashboards and reports for HQ stakeholders and field forces across countries (IC, call planning, targeting, performance metrics)
- Support process documentation (SOPs, trackers, workflows)
- Create and deliver requirements in alignment with agreed SoWs (timeliness, accuracy, quality), demonstrating customer centricity
- Contribute to field performance excellence deliverables (field target setting, field incentive design and modelling, incentive operations and reporting)
- Contribute to field excellence reporting and insights
- Communicate with internal associates, business colleagues and externals through regular updates on accomplishments, KPIs, best practices, staffing changes and key events
- Comply with internal functional operating procedures, including time tracking, KPI tracking and reporting, and other internal systems and processes
- Comply with Novartis operating procedures as per legal, IT and HR requirements
What you'll need
- Graduate or postgraduate in Technology, Pharma, Business Management, or Science
- Data ETL platforms (PowerBI, Alteryx, SQL, Snowflake, Dataiku etc.)
- Workflow management and automation tools (viz SharePoint, MS PowerApps, etc.)
- Reporting and visualization platforms (viz PowerBI, PowerPoint)
- Analytical platforms and methods (viz Excel, Python, Data Science, Machine Learning)
- Background in digital technologies and AI
- Good presentation, interpersonal and communication skills
Nice to have
- Good understanding of the Pharma ecosystem
Details
- Location: Hyderabad (Office)
- Employment type: Internship
Read the full description and apply on the company’s own careers page.