At a Glance
- Tasks: Design and deploy AI-driven automation solutions to enhance operational efficiency.
- Company: Join a forward-thinking company focused on innovation and data-driven decision making.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continuous improvement and career advancement.
- Why this job: Make a real impact by optimising processes with cutting-edge AI and automation technologies.
- Qualifications: 3+ years in automation, strong Python and SQL skills, and experience with machine learning.
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 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
✨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 operational excellence and automation. We recommend using the STAR method to structure your answers effectively.
✨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!
We think you need these skills to ace Operational Excellence Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in automation and AI. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about operational excellence and how your background makes you a perfect fit for our team at StudySmarter.
Showcase Your Technical Skills: Since this role involves a lot of technical work, make sure to mention your proficiency in Python, SQL, and any RPA tools you've used. We love seeing candidates who can back up their claims with real examples!
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 from our team!
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 can apply your technical knowledge in practical situations.
✨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.
✨Be Data-Driven
Since this role involves a lot of data analysis, come prepared with insights from your past experiences. Discuss how you've used data to drive decisions and improvements, and be ready to talk about any dashboards or reports you've created using Power BI.
✨Collaborate and Communicate
This position requires working closely with stakeholders, so be prepared to discuss how you've gathered requirements and translated them into actionable solutions. Show that you can communicate complex ideas clearly and effectively, as this is key to delivering successful projects.