Match Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 pharma brand, metro location, mid-level 5+ years, and generalist data skillset increase applicant density.
Strong pharma-specific dataset and commercial operations expertise limits transferability across industries.
Explicit 5+ years, mandatory pharma dataset experience, and required SQL/Python/PowerBI/Informatica make filters stringent.
Job Description
Structured overview of role & requirementsAbout This Role
Own data management strategy execution ensuring data availability, quality, and completeness across pharmaceutical commercial franchises.
Develop and enhance data processes, tools, and SOPs to drive automation, analytics, and high-quality deliverables for cross-functional use.
Collaborate with global and internal stakeholders to support forecasting, planning, and commercial operations while leading data governance and compliance activities.
Minimum Requirements
At least 5+ years experience with pharmaceutical commercial datasets, data governance, and stewardship, specifically with IQVIA and similar databases.
Bachelor’s degree required; advanced degree (e.g., MBA, Masters, PhD) in Management, Statistics, Engineering, Life Sciences, or related fields preferred.
Strong technical skills in SQL, Python, Excel, PowerBI, Informatica, AWS; pharmaceutical sales and marketing data source knowledge mandatory.
Work Experience Required: 5+ years in pharmaceutical sales data and data management. Notice period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced in managing complex pharmaceutical commercial data environments with strong cross-functional collaboration in an international matrix organization.
Demonstrated ability to lead innovation and automation in data processes using advanced statistical and analytical techniques.
Proven communicator who translates complex data management topics into actionable business insights, capable of working across diverse teams and time zones.