At a Glance
- Tasks: Design and optimise data solutions using SQL, Power BI, and Smartsheet.
- Company: Join a leading company focused on innovative filtration solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative culture with excellent career advancement opportunities.
- Why this job: Make an impact by creating scalable solutions in a dynamic tech environment.
- Qualifications: Bachelor's degree in relevant field and strong experience with analytics tools.
The predicted salary is between 50000 - 70000 £ per year.
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.
Responsibilities
- Design and maintain efficient data models and transformations using SQL and modern data platforms (e.g., Snowflake).
- Support and implement integrations across key platforms (Power BI, Smartsheet, Snowflake, Salesforce, Microsoft Power Platform), focusing on practical, scalable solutions.
- Partner with Enterprise IT and delivery teams to ensure alignment with governance and architectural standards.
- 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.
Qualifications
- Bachelor's degree in Computer Science, Information Technology, Engineering, or equivalent industry experience.
- 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).
- Proven ability to translate business requirements into scalable, user‑friendly solutions, balancing technical design with practical delivery.
- Demonstrated ability to resolve complex technical problems through collaboration and clear, audience‑appropriate communication.
- Comfortable leading through influence rather than authority in a matrixed organisation.
Preferred Experience
- 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).
- Experience working with data and systems in quality‑driven or regulated environments (e.g., GxP), including traceability, controls, and audit readiness.
- Applying continuous improvement principles (e.g., Lean, DBS, Kaizen) to optimise systems, data models, and operational workflows.
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.
Analytics Solutions Engineer in Portsmouth employer: Danaher Corporation
As an Analytics Solutions Engineer at our company, you will thrive in a dynamic work culture that prioritises innovation and collaboration. We offer competitive benefits, including opportunities for professional development and growth, while working in a supportive environment that values your contributions. Located in Portsmouth/Amersham, you'll enjoy a vibrant community with access to various amenities, making it an ideal place for both personal and professional fulfilment.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Solutions Engineer in Portsmouth
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with tools like Power BI and SQL. We want to see how you’ve tackled real-world problems and delivered user-friendly solutions.
✨Tip Number 3
Prepare for interviews by practising common questions related to analytics and data modelling. We suggest doing mock interviews with friends or using online platforms to get comfortable with articulating your experience.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals who can bring their unique skills to our team. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Analytics Solutions Engineer in Portsmouth
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your hands-on experience with tools like Power BI, SQL, and Smartsheet, as these are key for us.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're the perfect fit for the Analytics Solutions Engineer role. Share specific examples of how you've solved complex problems or optimised systems in the past.
Showcase Your Technical Skills:Don’t just list your technical skills—demonstrate them! Include projects or achievements that showcase your ability to design scalable solutions and work with data models, especially in regulated environments.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role without any hiccups!
How to prepare for a job interview at Danaher Corporation
✨Know Your Tools Inside Out
Make sure you’re well-versed in the tools mentioned in the job description, especially Power BI, SQL, and Smartsheet. Brush up on your DAX skills and be ready to discuss how you've used these platforms to solve real-world problems.
✨Showcase Your Problem-Solving Skills
Prepare examples of complex technical challenges you've faced and how you resolved them. Use the STAR method (Situation, Task, Action, Result) to structure your answers, highlighting your collaborative approach and clear communication.
✨Understand the Business Context
Familiarise yourself with the company’s goals and how the Analytics Solutions Engineer role contributes to them. Be ready to discuss how you can translate business requirements into scalable solutions that align with enterprise standards.
✨Be Ready for Scenario Questions
Expect scenario-based questions that assess your ability to design and maintain data models or implement integrations. Think through potential scenarios beforehand and prepare to articulate your thought process and decision-making clearly.
