Job
Description
Sandoz continues to go through an exciting and transformative period as a global leader and pioneering provider of sustainable Biosimilar and Generic medicines. As we continue down this new and ambitious path, unique opportunities will present themselves, both professionally and personally. Join us, the future is ours to shape! Job Description 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.
