Position : Data Analyst – Pharma Commercial Analytics
Employment type : Full-time
Work model: Hybrid
Job Summary
We are seeking experienced professionals with 5-6 years of expertise in pharma commercial analytics. The ideal candidate will have strong techno-functional abilities and hands-on experience in data modeling, reporting, dashboard development, and KPI tracking. This role requires deep knowledge of multiple commercial datasets and a keen eye for data validation and transformation to support business decision-making.
Roles and Responsibilities
o Gather, clean, and analyze large datasets related to pharmaceutical sales, market access, patient data, and promotional activities
o Ability to identify meaningful KPIs/ metrics and create dashboards/reports/ provide insights to support sales, marketing, and commercial operations
o Knowledge of 2 or more data sources such as IQVIA MIDAS, IQVIA Xponent, IQVIA Plantrak, IQVIA LAD/APLD, Calls, Events, Sample, CRM data, Claims, Legacy Data like EMR/HER
o Utilize statistical techniques and data modeling to identify trends and correlations in commercial data.
o Support marketing and sales teams with data-driven recommendations to optimize strategies.
o Ensure data integrity and compliance with industry regulations
o Collaborate with IT, business intelligence, and commercial teams to ensure data accuracy and availability.
o Create documents such as business requirements, functional requirements, business rules, analytics plans, quality checklists, etc.
Qualification
o Bachelor’s degree in Data Science, Statistics, Business Analytics, Life Sciences, or a related field.
o 4-5 years of experience in data analysis, preferably in the pharmaceutical or healthcare industry.
o Strong experience with data visualization tools (Tableau, Power BI, etc.)
o Proficiency in SQL, Python, or other data analytics tools
o Good hands on expertise with MS Office 365, PPT, Advanced Excel & Word
Other Skills
o Strong communication and presentation skills to translate data findings into actionable business recommendations.
o Strong analytical and problem-solving skills with attention to detail.
o Demonstrate the ability to work independently and manage multiple tasks effectively
o Show a commitment to continuous learning and professional development
o Must be detail oriented and able to manage and maintain all facets of complex assignments
o Ability to work in a fast-paced environment with cross-functional teams.