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Intern - I&A

novartis250 open roles

Where
Hyderabad (Office)
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Your applicationOpen nowIntern - I&Anovartis · Hyderabad (Office)
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The clock on this job

Early applications get read.

9.8% of postings close within 7 days. Measured by our own scanner across the market. novartis postings stay open a median of 6 days.

Share of postings closed within
  1. 1.9%1 day
  2. 3.9%3 days
  3. 9.8%7 days
  4. 15.6%14 days
  5. 33.8%30 days
This job: posted today

novartis median: 6 days open

The posting

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

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