Back
Tier-1 pharma brand and common early-career data analyst role increase competition.
Role requires healthcare commercial data expertise, making cross-industry transferability limited.
Explicit 1–2 years requirement plus mandatory SQL and healthcare data experience enforces moderate screening.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Own and maintain business rules for commercial and digital datasets ensuring data accuracy and organizational alignment.
Collaborate cross-functionally to design, develop, and support scalable data products and analytics solutions including dashboards and reporting.
Support integration, validation, governance, and migration of healthcare commercial datasets while leveraging automation and GenAI tools to enhance analytics delivery.
1–2 years experience as Data Analyst or similar role, preferably in healthcare or pharma.
Proficiency in SQL is mandatory; working knowledge of Python for data extraction and analysis.
Exposure to US commercial healthcare datasets like claims, sales, or payer data.
Bachelor's or Master's degree in relevant field such as Data Science, AI, or Engineering.
Experience working with healthcare and US commercial real-world data for analytics use cases.
Ability to handle cross-functional collaboration involving data engineering, forecasting, and therapeutic teams.
Hands-on familiarity with BI tools (Power BI or Tableau) and data platforms (Databricks, Redshift, or Snowflake) is advantageous.