Global Supply Chain Quality Data Analyst

Be part of something altogether life-changing!

Working at Cytiva means being at the forefront of providing new solutions to transform human health. Our incredible customers undertake life-saving activities ranging from fundamental biological research to developing innovative vaccines, new medicines, and cell and gene therapies.

At Cytiva you will be able to continuously improve yourself and us – working on challenges that truly matter with people that care for each other, our customers, and their patients. With associates across 40+ countries, Cytiva is a place where every day is a learning opportunity – so you can grow your career and expand your skills in the long term.

Forming part of the Biotechnology segment at Danaher, we bring together dedicated technical expertise and talent to develop the next generation of life-changing therapeutics.

We are now looking for a Global Supply Chain Quality Data Analyst

In this role, you will have the opportunity to:

• System owner and ambassador of the existing global Total Quality Dashboard.
• Developing, Improving and deploying Total Quality Data, Reports and Dashboards, engaging with key stakeholders.
• Consolidating/Standardizing quality dashboards and reporting across Cytiva.
• Training users in proper data analytics and best practice sharing.
• Measurement system analysis (Gauge R&R) and Signal-to-noise assessments for existing metrics to facilitate robust measurement processes.
• Aligning change control, securing data/KPI quality.
• Working closely with cross functional stakeholders on a global level, Product managers, QA and Site Quality Leaders to align on priorities.
• Strong advocate for Proactive Quality measurements for existing products.

The essential requirements of the job include:

• Preferably Bachelor's degree in a related field (Quality / Statistics / Computer Science) or at least 6 years of related experience
• Minimum of 5 additional years of work experience in manufacturing, continuous improvement, R&D or supply chain roles.  Experience using applied statistics.
• Experience from working with cross functional processes, with high standard of communication, both verbal and written in English with excellent influencing skills and the ability to develop strong relationships with key stakeholders
• Clear thinking visionary – searching for “best in class solutions” that can be applied in shortest possible time frame.
• Balancing “Continuous improvement mindset”, and “Quality Mindset”, attention to detail, without “analysis paralysis”
• Ability to plan and manage a range of priorities, and deliver projects to deadline, within an agreed/defined standard
• Advanced user in Excel, ability to create database queries and experience in Oracle and/or SAP.

It would be a plus if you also possess previous experience in:

• Hands on experience of Cytiva Processes is considered a big plus.
• Power BI, Qliksense, SFDC Veeva, and/or Machine learning
• Experience from practical application of Six Sigma is desired (processes and tools).

Application

We continuously assess candidates and invite them for interviews, so please don’t hesitate to write and send in the application. The recruitment will be completed as soon as suitable candidate is found.

We look forward to seeing your application.

At Danaher we bring together science, technology and operational capabilities to accelerate the real-life impact of tomorrow’s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life. Our global teams are pioneering what’s next across Life Sciences, Diagnostics, Biotechnology and beyond. For more information, visit www.danaher.com.

At Danaher, we value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes.