Senior Analyst - Launch And BD&L Insights And Analytics

NOVARTIS

3 - 8 years

16 - 18 Lacs

hyderabad

Posted:3 weeks ago| Platform:

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Skills Required

automation claims analytical pharma strategic planning healthcare operations secondary research sql python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Deliver advanced 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. Help the managers in onboarding new recruits.

Mentor the Analysts and help them in enhancing their functional knowledge and overall development.

Support in maintenance of standard operating procedures (SOPs), quality checklists (QCs) that will enable excellent quality outputs within the function.

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.

Essential Requirements

Minimum 3 years of experience in the pharmaceutical or healthcare industry, with a deep understanding of product launches, with deep understanding of US market access dynamics and healthcare landscape
Knowledge of patient-level datasets (APLD) such as Open & Closed Claims, EHR/EMR, Hospital datasets (IQVIA LAAD, Compile, Optum, Pharmetrics, Komodo, Symphony, Truven, DRG, Flatiron, etc.).
Proven track record of successful product launches and strategic planning in a complex, matrixed organization. Strong analytical and problem-solving skills to extract insights from complex APLD data sets and identify patterns and trends.
Good leadership skills with experience in managing and developing high-performing teams. 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. Ability to manage multiple projects simultaneously and prioritize effectively in a fast-paced environment. Strong problem-solving skills and a strategic mindset, with the ability to anticipate challenges and develop innovative solutions.
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

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