Job Description

Required Skills & Qualifications:

• Experience:
• 8+ years of experience in commercial operations within the Life Sciences industry, with expertise in areas like Sales, Marketing, Incentive Compensation (IC), Patient Data, LAAD, and Claims.
• 5+ years of experience in Data Engineering, including hands-on experience with cloud platforms (preferably Azure), and a strong background in managing and analyzing large datasets.
• Proven track record of developing and deploying data solutions that support commercial business functions in Life Sciences.
• Technical Expertise:
• Proficiency in Azure Data Services (e.g., Azure Data Lake, Azure SQL, Azure Databricks, Azure Synapse).
• Expertise in SQL, Python, or other relevant data engineering languages for building data models, pipelines, and reports.
• Strong understanding of data warehousing, ETL processes, and data lake architectures.
• Familiarity with business intelligence tools such as Power BI, Tableau, or similar platforms for visualization and reporting.
• Domain Knowledge:
• Extensive understanding of Life Sciences commercial functions, including Sales, Marketing, Incentive Compensation (IC), Claims, Patient Data Management, and Longitudinal Access and Adjudication Data (LAAD).

Job Tags

Similar Jobs