Novartis Hiring Intern, Field Design Advisory (Hyderabad) | Freshers

Job Description Summary

The intern will support the Field Operations team in delivering high-quality analytics, reporting and operational processes that improve field force effectiveness, incentive operations and call plan management, while using technology and AI for automation.

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

Key Accountabilities

• Support data-driven field and commercial execution processes
  • Perform analytics such as trend identification and variance analysis
  • Build and run automated data validation and quality checks on input datasets
  • Help prepare dashboards and reports for HQ stakeholders and field forces across countries (IC, call planning, targeting, performance metrics)
  • Support process documentation such as SOPs, trackers and workflows
• Deliver field performance requirements in line with agreed SoWs (timeliness, accuracy, quality) while showing strong customer centricity
  • Field performance excellence deliverables (field target setting, field incentive design and modelling, incentive operations and reporting)
  • Field excellence reporting and insights
• Maintain clear communication with all stakeholders, including internal associates, business colleagues and external partners, through regular updates on accomplishments, KPIs, best practices, staffing changes and key events
• Follow internal functional operating procedures such as time tracking, KPI tracking and reporting, and other internal systems and processes
• Comply with all Novartis operating procedures under legal, IT and HR requirements

Education and Skills Requirements

• Data ETL platforms (PowerBI, Alteryx, SQL, Snowflake, Dataiku etc.)
• Workflow management and automation tools (such as SharePoint, MS PowerApps)
• Reporting and visualization platforms (such as PowerBI, PowerPoint)
• Analytical platforms and methods (such as Excel, Python, Data Science, Machine Learning)
• Background in digital technologies and AI
• Good presentation, interpersonal and communication skills
• Good understanding of the pharma ecosystem (desirable)