Process Analytics

Today Lonza is a global leader in life sciences. We are more than 15,000 employees in more than 100 locations around the world. While we work in science, there’s no magic formula to how we do it. Our greatest scientific solution is talented people working together, devising ideas that help businesses to help people. In exchange, we let our people own their careers. Their ideas, big and small, genuinely improve the world. And that’s the kind of work we want to be part of. What you will do Write and optimize SQL queries. Manage and evolve Statistica Enterprise (GDM) data backbone. Validate data and ensure integrity, traceability and consistency across workflows. Automate and optimize workflows to eliminate manual effort and speed up insights. Build scalable ETL pipelines and BI dashboards to make data accessible across teams. Apply advanced analytics (PCA, multivariate methods, trend analysis) to uncover patterns and improve data interpretation. Act as a proactive connector across stakeholders — QA, MSAT Operations, MSAT Validation, Process Development and global functions ensuring alignment and clear communication. Take ownership: anticipate needs, raise opportunities and drive data solutions forward rather than waiting for requests. What you bring Good SQL expertise, you know how to query, optimize and scale. Experience with enterprise data platforms (Statistica Enterprise / GDM or similar). Proven skills in ETL, automation, and BI dashboard development. Hands‑on experience with advanced analytics techniques such as PCA, multivariate analysis and modeling. Knowledge of mammalian USP and DSP processes is considered an asset. A team player mindset, you collaborate naturally across QA, MSAT Ops, MSAT Validation, PD and global teams. A proactive mindset: you take initiative, seek improvements and make things happen. What you will get Ownership: You will be responsible for systems that people rely on every day. Scale: The solutions you build won’t sit in a corner, they will power data and decisions across the company. Challenge: You will solve problems no one has solved yet in an environment that values initiative. Growth: You will expand your skills in SQL, ETL, BI and advanced analytics while shaping how data is managed at Lonza. #J-18808-Ljbffr