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- Tasks: Design and deploy AI-driven automation solutions to enhance operational efficiency.
- Company: Join a forward-thinking company at the forefront of AI and data innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continuous learning and development.
- Why this job: Make a real impact by optimising processes with cutting-edge technology.
- Qualifications: 3+ years in automation, strong skills in Python and SQL, and experience with AI/ML.
The predicted salary is between 50000 - 60000 £ per year.
We are seeking a detail-oriented and technically skilled AI & Data Process Intelligence Analyst with 3+ years of experience in automation and intelligent process improvement. In this role, you will design, develop, and deploy AI-enabled automation solutions, leverage process mining techniques to identify optimisation opportunities, and apply data-driven insights to enhance operational efficiency across the business. This position sits at the intersection of automation, data analysis, and applied machine learning. You will work closely with business stakeholders to deliver scalable and practical solutions.
Key Responsibilities
- Apply AI and automation techniques to streamline and improve operational processes.
- Develop dashboards and performance reports using Power BI to support data-driven decision making.
- Use prototyping and design tools (e.g. Google Gravity, Figma Make) to design, document, and optimise process workflows and automation solutions.
- Build and integrate machine learning models (e.g. classification, prediction, and optimisation) into automation workflows where appropriate.
- Analyse structured and unstructured data using Python and SQL to validate business problems and quantify potential process improvements.
- Collect, clean, and prepare operational data from multiple sources for analysis and modelling.
- Collaborate with business stakeholders to gather requirements and translate them into scalable automation and AI solutions.
- Monitor deployed automations and AI models to ensure ongoing performance, accuracy, and reliability.
- Document solutions, maintain governance standards, and adhere to best practices for automation lifecycle management.
Required Experience & Skills
- 3+ years of experience in automation engineering, intelligent process automation, AI/ML implementation, digital transformation, or a similar technical role.
- Strong proficiency in Python and SQL for data analysis and automation development.
- Hands-on experience with RPA and workflow automation tools (e.g. Power Automate, UiPath).
- Practical experience developing and deploying machine learning models in Python (e.g. scikit-learn, pandas).
- Experience working with APIs and integrating systems across business platforms.
- Strong analytical thinking and problem-solving skills with the ability to translate complex data into actionable insights.
Operational Excellence Analyst (AI & Data) in Ruislip employer: B&S Group (Laxmico Ltd)
Contact Detail:
B&S Group (Laxmico Ltd) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Operational Excellence Analyst (AI & Data) in Ruislip
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI and automation. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common questions related to AI and data analysis. We recommend using the STAR method to structure your answers – it’s a game changer!
✨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 hearing from passionate candidates like you!
We think you need these skills to ace Operational Excellence Analyst (AI & Data) in Ruislip
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in automation and AI, just like we do at StudySmarter. Use keywords from the job description to show that you’re a perfect fit for the Operational Excellence Analyst role.
Showcase Your Skills: Don’t just list your skills; demonstrate them! Include specific examples of how you've used Python, SQL, or any automation tools in past projects. We love seeing real-world applications of your expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about AI and data process improvement. Share how your experience aligns with our mission at StudySmarter and how you can contribute to our team.
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 don’t miss out on any important updates during the hiring process!
How to prepare for a job interview at B&S Group (Laxmico Ltd)
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these languages to solve real business problems. This will show that you not only understand the theory but can also apply it practically.
✨Showcase Your Automation Experience
Prepare examples of how you've implemented automation solutions in previous roles. Highlight any experience with RPA tools like Power Automate or UiPath, and be ready to explain the impact your work had on operational efficiency.
✨Demonstrate Your Analytical Skills
Be prepared to discuss how you've used data analysis to drive decision-making. Bring examples of dashboards or reports you've created, especially using Power BI, and explain how they helped stakeholders make informed choices.
✨Collaborate and Communicate
Since this role involves working closely with business stakeholders, practice articulating how you gather requirements and translate them into technical solutions. Show that you can bridge the gap between technical and non-technical teams effectively.