摘要
Novartis is unable to offer relocation support for this role; please only apply if this location is accessible for you.
About the role:
We are seeking a hands-on Data Analytics Manager who thrives at the intersection of strategy and execution. In this role, you won’t just manage projects, you’ll actively contribute to their technical delivery. From writing production-grade Python and SQL to deploying pipelines and building dashboards, you will play a direct role in shaping our data products. This position covers all areas of a modern data team, including Data Engineering, Data Governance, Advanced Analytics, Machine Learning / AI, and Dashboarding.
The role reports directly into the Data Strategy Lead and will work closely with Business Excellence & Execution cross-functional team.
Permanent position
About the Role
Key Responsibilities:
- Lead cross-functional analytics initiatives from planning to delivery, aligning scope, timelines, and priorities with stakeholders.
- Translate business requirements into actionable data and analytics solutions across domains.
- Provide hands-on support and architectural guidance across data pipelines (ETL/ELT), model development, and reporting solutions.
- Collaborate with data engineers to design data models and efficient dataflows in Snowflake and Dataiku.
- Partner with analysts and data scientists to drive insight generation, ML model deployment, and automation use cases.
- Collaborate with governance stakeholders to enforce data stewardship, lineage, and cataloging using Collibra.
- Establish data quality frameworks and documentation standards across the data lifecycle.
- Oversee the development and maintenance of Power BI dashboards that provide actionable insights to business leaders.
Essential Requirements:
- 5+ years of experience in data & analytics.
- Proven ability to manage complex data projects across multiple domains and stakeholders.
- Hands-on experience with platforms like AWS, Snowflake, Collibra, Dataiku, and PowerBI, and proficiency in Python and SQL.
- Strong understanding of data engineering, ML lifecycle, governance principles, and dashboard best practices.
- Excellent interpersonal, organizational, and communication skills.
Desirable Requirements:
- Technical background (Software Engineering, Computer Science, Information Systems).
- Prior experience working in a relevant industry or consulting environment.
Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture
Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network
Benefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards
Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.
