Operational Excellence Analyst
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.