Senior Data Analyst

Job Responsibilities

• Develop a strong understanding of internal stakeholders’ data and analytical needs, with a focus on customer-facing leadership models.
• Advocate for the integration of local customer insights into strategic planning and resource allocation decisions.
• Partner with US Sales Force Operations to drive key business processes and collaborate on joint initiatives.
• Identify, prioritize, and lead the development and deployment of new analytical tools and capabilities across the organization.
• Foster a culture of continuous improvement, encouraging innovation, testing, and adoption of new solutions.
• Introduce advanced analytical practices to establish and maintain a competitive advantage.
• Access and leverage information from diverse tools and data sources.
• Communicate findings effectively through clear presentations and multiple communication channels.
• Apply advanced technical expertise (e.g., data modeling, deep knowledge of core datasets) and share best practices within the team.
• Demonstrate strong cross-functional understanding and collaboration, ensuring alignment with colleagues’ work.
• Stay current with external trends and leading-edge analytic capabilities within and beyond the pharmaceutical sector, and identify opportunities for application within the business.

Job Requirements

• Bachelor’s degree in a quantitative discipline (Engineering, Operations Research, Management Science, Economics, Statistics, Applied Math, Computer Science, or Data Science) from an accredited institution is required; advanced degree (Master’s, MBA, PhD) preferred.
• Minimum 2+ years of experience in Pharmaceutical, Biotech, or Healthcare analytics or secondary data analysis.
• At least 5 years of experience applying advanced statistical methods and procedures to large, complex datasets.
• 4+ years of hands-on experience with PySpark, Python, R, and SQL.
• Familiarity with platforms such as Databricks.
• Working knowledge of data visualization tools (Power BI, MicroStrategy, Tableau, QlikView, D3.js, or similar) preferred.
• Proficiency with MS Office, particularly Excel and PowerPoint.
• Strong experience in analyzing large longitudinal data sources (Claims, EMR, and other patient-level datasets).
• Prior exposure to IQVIA datasets.
• Ability to extract, interpret, and clearly communicate insights from complex analyses.
• Strong organizational and time management skills.
• Proven expertise in handling and analyzing a wide range of large-scale secondary transactional databases.
• Solid background in statistical analysis and modeling.