
Senior Business Intelligence Professional
2 weeks ago
The successful candidate will be responsible for developing a strong understanding of internal stakeholders' data and analytical needs, focusing on customer-facing leadership models.
- Advocate for the integration of local customer insights into strategic planning and resource allocation decisions.
- Partner with 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 a competitive advantage.
- Access and leverage information from various tools and data sources.
- Communicate findings effectively through clear presentations and multiple channels.
- Apply advanced technical expertise 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, identifying opportunities for application within the business.
Required Skills:
- Bachelor's degree in a quantitative discipline required; an advanced degree preferred.
- Minimum 2+ years of experience in analytics or secondary data analysis.
- At least 5 years of experience applying advanced statistical methods to large 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 preferred.
- Proficiency with MS Office, particularly Excel and PowerPoint.
- Strong experience analyzing large longitudinal data sources.
- Prior exposure to IQVIA datasets.
- Ability to extract insights from complex analyses.
- Strong organizational and time management skills.
- Proven expertise handling and analyzing large-scale databases.
- Solid background in statistical analysis and modeling.
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