
Senior Business Insights Professional
1 week ago
**Job Opportunity:** Senior Data Analyst
Job Title: Senior Data AnalystGain a thorough understanding of stakeholders' data and analytical requirements, focusing on leadership models for customer-facing teams.
Key Responsibilities:
- Advocate for the integration of local customer insights into strategic planning and resource allocation decisions.
- Collaborate with US Sales Force Operations to drive key business processes and partner 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.
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.
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