Relocation assistance is available for eligible candidates and their families, if needed. What you’ll get : Agile career and dynamic working culture Inclusive and ethical workplace Compensation programs that recognize high performance Competitive salary and lifestyle, family, and leisure benefits. Full list of tailored local benefits in Visp can be found at https://bit.ly/3wjkoFi What you’ll do: Build trusted, analytics-ready datasets by integrating, contextualizing, and structuring operational data from systems such as PI, MES, ELN, instrument platforms, and manufacturing data sources. Work closely with mammalian manufacturing and process teams to understand how operational data is generated, used, and interpreted within real manufacturing and GMP workflows. Analyze process trends, variability, bottlenecks, and performance drivers across batches, campaigns, and workflows using statistical and analytical techniques. Develop operational dashboards, analytical views, and process intelligence solutions used daily by MSAT, Process Development, Manufacturing, QA, and Operations teams. Translate complex operational and manufacturing datasets into actionable insights and improvement opportunities that support process robustness and operational performance. Support GMP deliverables and reporting activities while identifying opportunities to simplify, standardize, automate, and improve underlying data and operational workflows. Improve operational data quality, traceability, contextualization, and usability to enable scalable analytics and reliable decision-making. Collaborate closely with MSAT, Manufacturing, QA, Automation, IT, and global data teams to deliver scalable, operationally relevant, and production-ready data and analytics solutions. What we are looking for: Strong passion for analyzing complex process and manufacturing data and translating it into actionable insights and scalable solutions. Ability to think beyond reporting and leverage data to improve process understanding, operational performance, and decision-making. Experience collaborating with manufacturing and process teams, ideally within mammalian production environments. Strong interest in working at the intersection of process science, operational analytics, and digital transformation. Good understanding of how data is generated, structured, and utilized within operational environments. Ability to clearly communicate complex analyses and translate them into practical recommendations for diverse stakeholders. Hands‑on mindset with a collaborative approach to cross‑functional teamwork. Technical Requirements : Experience with process analytics, operational analytics, and industrial data environments. Practical skills in SQL, Python, statistical analysis, and data visualization. Understanding of data pipelines and ETL processes. Experience with tools such as Seeq, SIMCA, Statistica, Power BI, PI System, Azure, Git, or comparable platforms. Preferred Qualifications : Experience in a CDMO environment or knowledge of mammalian manufacturing / bioprocess development. Interest in process behavior, variability, GMP‑related support, and continuous improvement. #J-18808-Ljbffr