Business Analyst

About the Role

Business Analysis & Optimisation

Responsibilities

• Map, analyse, and improve existing business processes across Project Management, Quality, Engineering and Operations.
• Identify inefficiencies, recommend and implement automation opportunities, using AI and agentic tools.
• Collaborate with internal teams to implement AI-driven solutions for predictive analytics, process mining, and intelligent automation.
• Evaluate new and emerging AI tools, ensuring they are aligned with business needs and can deliver measurable impact.
• Collect, analyse, and interpret data to support strategic decision-making.
• Develop and maintain interactive dashboards and reports using tools like Power BI.
• Translate data findings into actionable recommendations for stakeholders.
• Contribute to project planning, requirement gathering, stakeholder engagement, and testing activities.
• Ensure solutions are delivered on time, meet business needs, and are fully adopted by end users.
• Conduct market research, technology trend analysis, and competitor benchmarking to identify opportunities, risks, and strategic focus areas.
• Participate in trade fairs, conferences, and customer events, capturing and synthesising market and customer intelligence to support business development strategy.

Requirements

No specific requirements mentioned.

Nice to Have

No nice to have skills mentioned.

Benefits

No benefits mentioned.

About the Company

No company information mentioned.

This role creates positive change by driving internal business optimisation, AI enablement, operational efficiency, and data-driven decision making across multiple departments, leveraging data, automation, and strategic insight to shape both operational and commercial decision making.

• Proven experience as a Business Analyst in a cross-functional environment.
• Strong understanding of business process modelling and improvement methodologies.
• Hands-on experience with AI tools, automation platforms, and data visualization tools.
• Proficiency in e.g. SQL, Excel, and BI platforms.
• Excellent communication and stakeholder management skills.
• Ability to work independently and manage multiple priorities.

Preferred Qualifications

• Degree in Business, Engineering, Computer Science, or related field.
• Experience in manufacturing, engineering, or high-tech environments.
• Knowledge of machine learning concepts and data science fundamentals.

No specific benefits, compensation, or perks mentioned in the job description.

No specific information about the organization's mission and work is provided in the job description.