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Senior Analyst

Novartis

5 - 10 years

Hyderabad

Posted: 01/08/2025

Job Description

Summary

We are seeking a highly analytical and collaborative professional to join the Analytics, Insights & Decisions Enablement (AIDE) team within Insights and Decision Science (IDS). This role will focus on delivering actionable insights into patient and provider behaviors, supporting brand strategy, marketing effectiveness, customer engagement, etc. You will partner closely with cross-functional stakeholders across IDS pillars.
The team of Novartis specialists within Insights and Decision Science (IDS) centralizes insights and analytics across the US enterprise, empowering our organization to make informed and interconnected decisions in service of patients and customers.

About the Role

Key responsibilities

  • Provide analytics support to Novartis internal customers on various high complexity analytical reports.
  • Working knowledge of multiple datasets e.g. LAAD, Xponent, SMART etc. and managing and organizing data sets from databases to find patterns and trends in data.
  • Transforming these complex and granular data into actionable insights.
  • Putting together specifications to extract/transform data into required formats for different analytical elements using SQL/DSS or other data processing tools.
  • Require experience in quantitative analysis with a demonstrated focus in analytics, and experience with coding languages (SQL OR Python) to query and extract data. Also, experience with BI tools, working with very large data sets is a plus.
  • Create the foundation for more sophisticated approaches to APLD analysis and advanced analytics wherever it is required and beneficial.
  • Establish and maintain positive relationships with key functional stakeholders.
  • Takes initiative to drive standardization of reports across brands.

Essential Requirements:

  • Masters/ Bachelor’s in technology/ life-sciences/ management
  • Minimum of 3+ years’ experience processing and analyzing real world patient level data (Claims data/EHR etc.,).
  • Expertise in SQL, DataIKU and/or other data processing tool. Knowledge of Statistical modeling or ML is a plus.
  • Understanding of healthcare terminology and real-world patient level data
  • Good communication and interpersonal skills. Conceptual, analytical & tactical thinking, strategic thought process
  • Ability to multi-task, work in a demanding global team environment, work under tight deadlines. Develop and maintain strong individual and team performance.

Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture

Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network(link is external)

Benefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards

About Company

Novartis is a leading global healthcare company headquartered in Basel, Switzerland. It specializes in the research, development, manufacturing, and marketing of innovative pharmaceuticals. Formed in 1996 through the merger of Ciba-Geigy and Sandoz, Novartis focuses on areas such as oncology, neuroscience, immunology, cardiovascular diseases, and gene therapies.With a strong commitment to scientific innovation, Novartis invests heavily in R&D and collaborates with biotech companies and academic institutions worldwide. The company operates in over 140 countries and serves millions of patients globally. Novartis is also known for its efforts in access to medicine, using programs like Novartis Access and Novartis Foundation to support underserved populations.

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