Analytics Solutions Engineer
Role details
Job location
Tech stack
Job description
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 Systems Development Architect is responsible for designing, scaling, and owning business-led platform solutions that underpin Validation Services within Filtration Customer Success.
The role focuses on optimising established operational platforms-particularly Smartsheet, automation, and Power BI-while ensuring solutions are scalable, secure, compliant, and aligned to enterprise standards.
Working closely with Enterprise IT and system owners, the role provides technical solution leadership and day-to-day ownership of business environments across key platforms, ensuring sustainable operation within a regulated environment.
This position reports to the Sr. Manager, Validation Business Analytics & DBS and is part of the Filtration Customer Success located in Portsmouth / Amersham UK and will be an on-site role.
What you will do:
- Design and maintain efficient data models and transformations using SQL and modern data platforms (e.g. Snowflake exposure preferred).
- Support and implement integrations across key platforms (Power BI, Smartsheet, Snowflake, Salesforce, Microsoft Power Platform), focusing on practical, scalable solutions rather than enterprise architecture ownership.
- Partner with Enterprise IT and delivery teams to ensure alignment with governance and architectural standards (without full architecture ownership).
- Maintain end-to-end visibility of portfolio execution: demand, capacity signals, backlog health, cycle time, OTD, and key failure modes; publish clear, business-focused dashboards and action tracking.
Requirements
Do you have a Bachelor's degree?, * Bachelor's degree in Computer Science, Information Technology, Engineering, or equivalent industry experience.
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Strong hands-on experience developing and enhancing analytics and reporting solutions, particularly across Power BI (including DAX), SQL/data modelling, and business workflow tools (e.g. Smartsheet, Excel).
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Proven ability to translate business requirements into scalable, user-friendly solutions, balancing technical design with practical delivery.
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Demonstrated ability to resolve complex technical problems through collaboration and clear, audience appropriate communication.
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Comfortable leading through influence rather than authority in a matrixed organisation.
Travel Requirements:
Ability to travel as required for onboarding, collaboration, and business events Including periodic travel to Portsmouth/Amersham and occasional domestic or international travel.
It would be a plus if you also possess previous experience in:
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Practical, hands-on experience with one or more of the following tools/platforms: Salesforce, Snowflake, Smartsheet (including Bridge), Power BI, Qlik, Microsoft Power Platform (e.g. Power Automate), Box (API).
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Experience working with data and systems in quality-driven or regulated environments (e.g. GxP), including traceability, controls, and audit readiness.
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Applying continuous improvement principles (e.g. Lean / DBS / Kaizen) to optimise systems, data models, and operational workflows.