Back
Tier-1 pharma brand, metro Hyderabad location, and a generalist early-career data analyst profile increase applicant competition.
Healthcare commercial data expertise raises domain specificity while SQL/Python/BI skills retain transferability.
Explicit 1–2 years, mandatory SQL and healthcare dataset experience make shortlisting moderately strict.
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 and data governance for commercial and digital pharma datasets ensuring data quality and alignment with organizational standards.
Collaborate cross-functionally to design data analytics solutions, onboard US commercial healthcare datasets, and support enterprise data migration activities.
Develop and maintain analytics tools including dashboards and reporting solutions using SQL, Python, and BI tools for brand performance tracking and insights delivery.
1-2 years experience in Data Analyst or similar role, preferably in healthcare or pharma industry.
Proficiency in SQL is mandatory; working knowledge of Python also required.
Experience with US commercial real-world data sources such as claims, sales, or payer datasets is required.
Bachelor's or Master's degree in Data Science, AI, Engineering, or related discipline.
Experienced in managing and analyzing complex healthcare commercial datasets with attention to data quality and governance.
Comfortable working in cross-functional teams involving data engineering, forecasting, and commercial stakeholders to deliver scalable data products.
Familiarity with data platforms like Databricks, Redshift, or Snowflake and with BI tools such as Power BI or Tableau to create actionable analytics.