Staff Data Visualization Engineer

Bring more to life.

Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology?

At Cytiva, one of Danaher’s 15+ operating companies, our work saves lives—and we’re all united by a shared commitment to innovate for tangible impact.

You’ll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danaher’s system of continuous improvement, you help turn ideas into impact – innovating at the speed of life.

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. Take your next step to an altogether life-changing career.

Learn about the Danaher Business System which makes everything possible.

The Staff Data Visualization Engineer is responsible for designing, developing, and optimizing enterprise-scale business intelligence and data visualization solutions. The role transforms governed data into trusted, intuitive, and high-performing analytical experiences that enable business users to make data-driven decisions.

By applying visualization best practices, scalable development patterns, and enterprise governance standards, this role improves adoption, reduces technical debt, and ensures consistent delivery of analytics solutions across the organization.

What you will do:

• Design, develop, and maintain enterprise business intelligence applications, dashboards, and analytical solutions that support critical business processes and decision-making.
• Optimize application performance, data refresh processes, and data models to deliver responsive user experiences and efficient platform utilization.
• Collaborate with business stakeholders, data engineers, analytics teams, and analytics platform teams to translate business requirements into effective reporting solutions and integrate visualization platforms with Snowflake and other enterprise data services.
• Apply enterprise visualization standards, governance requirements, and best practices to ensure consistent, usable, accessible, and trusted analytics outputs, while contributing to the migration of business logic and data transformations to governed enterprise data platforms and semantic models.
• Perform code reviews, quality assurance, and root-cause analysis to improve solution reliability and reduce production issues.

Who you are:

• Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related technical field.
• Demonstrated experience developing enterprise-scale business intelligence and data visualization solutions, including analytical applications supporting large user communities.
• Expertise in dashboard development, analytical calculations, performance optimization, and data visualization best practices.
• Experience designing and maintaining governed data models, with knowledge of dimensional modeling, data warehousing concepts, and analytical data structures.
• Experience integrating multiple enterprise data sources and delivering trusted reporting solutions within governed self-service analytics environments with established standards and governance frameworks.

Preferred Qualifications

• Experience with Qlik Sense Platform including Qlik Cloud, Qlik Answers or other AI-enabled analytics capabilities.
• Experience supporting large-scale BI modernization, migration, or analytics transformation initiatives.
• Familiarity with Power BI, semantic modeling, and enterprise analytics governance frameworks.

Join our winning team today. Together, we’ll 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.

For more information, visit www.danaher.com.