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 a focus on continuous improvement and career advancement.
- Why this job: Make an impact by transforming data into actionable insights in a dynamic 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 Little Chalfont 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, all 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 Little Chalfont
✨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 recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Analytics Solutions Engineer in Little Chalfont
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Analytics Solutions Engineer role. Highlight your experience with SQL, Power BI, and any relevant tools like Smartsheet or Salesforce. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background makes you a perfect fit. We love seeing enthusiasm and a clear understanding of our needs.
Showcase Your Problem-Solving Skills:In your application, don’t forget to mention specific examples where you've tackled complex technical problems. We appreciate candidates who can communicate their thought process and solutions clearly, so make it relatable!
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. Plus, it shows you’re keen on joining our team at StudySmarter!
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-Based Questions
Expect questions that assess your ability to design and maintain data models or implement integrations. Think through potential scenarios beforehand and prepare to explain your thought process and decision-making in a clear, concise manner.
