Intern, Field Design Advisory

Key Accountabilities

• Support data-driven field/commercial execution processes
• Perform Analytics (trend identification, variance analysis)
• Build & perform automated data validation and quality checks on input datasets
• Assist in preparation of dashboards/reports for our HQ stakeholders and our field forces across countries (IC, call planning, targeting, performance metrics)
• Support process documentation (SOPs, trackers, workflows)
• Create and deliver below requirements in alignment with agreed SoWs (timeliness, accuracy, quality, etc..) and demonstrate excellent customer centricity
• Field Performance excellence deliverables (field target setting, field Incentive design & modelling, Incentive operations and reporting)
• Field Excellence Reporting and insights
• Ensures exemplary communication with all stakeholders including internal associates, business colleagues, and externals through regular updates with focus on accomplishments, KPIs, best practices, staffing changes and key events
• Comply with all internal functional operating procedures like time tracking, KPI tracking and reporting, and other internal systems and processes
• Comply to all Novartis operating procedures as per legal / IT / HR requirements

• 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 Good understanding of Pharma ecosystem (desirable)

The Intern, Field Operations, is accountable for Field Operations delivery across all international markets. In this role, the intern should support Field Operations team in delivering high-quality analytics, reporting, and operational processes that improve field force effectiveness, incentive operations, and call plan management while leveraging technology and AI for automation.

The role requires strong analytical/data management skills, operational excellence/ continuous improvement mindset and a strong drive for technology-driven innovation.