Data Science Analyst Job in Hyderabad at Novartis

Novartis is hiring for the role of Data Science Analyst!

Responsibilities of the Candidate:

• Deliver analytical solutions as an individual contributor for various projects related to quantification of patient journey, informing & validating forecast assumptions and other ad-hoc business questions related to launch products.
• Support exploratory research to identify new areas of application of patient / provider analytics in providing enhanced decision-making support.
• Development and automation of project codes and deliverables.
• Participate in various knowledge sharing sessions that enable growth and improves quality of deliverables across the function.
• Comply with all internal functional operating procedures like time tracking, KPI tracking and reporting, and other internal systems and processes.

Requirements:

• Minimum 1 year of experience in the pharmaceutical or healthcare industry.
• Strong analytical and problem-solving skills to extract insights from complex APLD data sets and identify patterns and trends.
• Excellent communication and interpersonal skills, with the ability to influence and collaborate with cross-functional teams.
• Proficiency in data analytics tools, platforms and languages like SQL and Python, with the ability to translate data into actionable insights.
• Strong problem-solving skills and a strategic mindset, with the ability to anticipate challenges and develop innovative solutions.
• Bachelor's degree in related field is required; Master of Science and/or MBA strongly preferred.
• Ability to balance operational execution with high-level strategic thinking, supporting both day-to-day performance and long-term business goals
• Ability to work collaboratively with cross-functional teams, including sales, Data Operations, and product development and drive strategic initiatives
• Proficiency in insight and hypothesis generation, data science, and primary and secondary research methodologies
• Ability to thrive in a fast-paced, dynamic environment and adapt to changing business needs and priorities.