
Senior Business Intelligence Specialist
3 days ago
We are seeking a seasoned Data Analyst to join our team. As a key member of the organization, you will be responsible for developing and maintaining advanced analytical tools and capabilities.
- You will work closely with internal stakeholders to understand their data and analytical needs, focusing on customer-facing leadership models.
- Promote the integration of local customer insights into strategic planning and resource allocation decisions.
- Collaborate with cross-functional teams to drive key business processes and joint initiatives.
- Identify and prioritize opportunities for process improvement and implement changes.
- Foster a culture of innovation, testing, and adoption of new solutions.
- Implement advanced analytical practices to maintain a competitive advantage.
- Access and leverage information from various tools and data sources.
- Communicate findings effectively through clear presentations and multiple communication channels.
- Apply technical expertise and share best practices within the team.
- Stay current with external trends and leading-edge analytic capabilities.
- 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.
- 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.
- Proficiency with MS Office, particularly Excel and PowerPoint.
- Strong experience in analyzing large longitudinal data sources.
- 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 large-scale secondary transactional databases.
- Solid background in statistical analysis and modeling.
- Bachelor's degree in a quantitative discipline (Engineering, Operations Research, Management Science, Economics, Statistics, Applied Math, Computer Science, or Data Science).
- 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.
- Proficiency with MS Office, particularly Excel and PowerPoint.
- Strong experience in analyzing large longitudinal data sources.
- 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 large-scale secondary transactional databases.
- Solid background in statistical analysis and modeling.
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