Novartis

Intern - I&A

Hyderabad (Office) · Posted 2h ago

salary not listed

Job Description

Job Description Summary

The position will play a pivotal role in transforming data into high-quality, actionable insights that influence strategic business decisions at a global scale. This role offers a unique opportunity to work directly with cross-functional global stakeholders, contribute to key business deliverables, and apply advanced analytics and modelling in real-world healthcare challenges. Expect to be part of a fast-paced, innovative environment with freedom to experiment, learn, and grow.


 

Job Description

  • Be 100% hands-on in delivering high-impact analytics and insights across core business areas—including monthly business reviews, decision boards, KPI performance assessment, impact measurement using advanced analytics and daily ad hoc analyses that drive global decisions. 
  • Collaborate directly with global stakeholders, especially with teams based in the US, gaining real-world exposure to the US pharma market, patient behavior analytics, and commercial strategy 
  • Work on advanced analytics and modelling techniques, including predictive models, optimization frameworks, and AI/ML-driven solutions to support strategic brand, access, and patient support decisions 
  • Dive deep into patient-level analytical ready datasets (ARDs) and base tables to uncover trends, answer complex business questions, and deliver end-to-end insight storytelling—from data to decision 
  • Connect with a high - impact peer group with backgrounds from IITs, ISB, IIMs, BITS, NITs, and top global schools—and work in a culture that emphasizes peer learning, mentorship, and continuous upskilling 
  • Innovate through the freedom to ideate and experiment with new approaches and tools - whether building scalable dashboards, designing causal inference models, or enhancing automation for enterprise analytics 
  • Build with scalability in mind by following enterprise standards for documentation, coding practices, and business rules, contributing to a growing ecosystem of re-usable analytics assets 
  • Regularly interact with senior stakeholders to present findings, discuss trade-offs, and refine hypotheses—gaining visibility and building communication skills early in your career 
  • Embrace a fast-paced, hybrid, and unbossed work environment where curiosity, self-leadership, and collaboration are valued as much as technical skills. 


 

Skills Desired