Your Key Responsibilities:
Your responsibilities include, but not limited to:
- Lead a team of 10+ associates to support key deliverables for Region Europe promoting a data-driven decision-making culture through coaching, mentoring, and introducing industry best practices and external perspectives.
- Conceptualize, design, and develop advanced analytics projects and proof of concepts on prioritized use cases incorporating multiple data sources.
- Design and implement automated data workflows for complex datasets, collaborating with business and IT teams to expand automation and integrate it with existing systems.
- Oversee data integration across multiple teams to ensure insights are aligned with business priorities and performance objectives.
- Collaborate with cross-functional global teams to ensure accurate delivery of key projects.
- Provide thought leadership to foster a culture of data-driven decision-making.
- Identify best practices across the organization and industry, providing inputs to the team and the broader community.
- Drive data-driven innovation and support operational excellence through simplification and automation initiatives.
What you ll bring to the role:
Essential Requirements:
- Masters or bachelors degree in Data Analytics, Data Science, Business, or Engineering is required; an MBA from a reputed institute is preferred.
- 10+ years of experience in Data Analytics or related fields, with specific experience in producing insights for senior management and building statistical models to address business issues.
- Experience in Commercial Analytics in the Pharma or Life Sciences industry is preferred.
- Experience working with large datasets, data visualization tools, statistical software packages, and platforms (specifically Python, advanced SQL, Snowflake, AWS, Databricks, PowerBI, and Alteryx).
- Demonstrated experience in designing and delivering insights using statistical models, AI/ML, including GenAI is a significant plus.
- Experience deploying predictive models, user-centric dashboards, cloud-based ELT pipelines, simulation, and optimization models is a significant plus.
- Project management tools and practices with high proficiency in MS-Excel and PPT required.
