Business Analyst

Swindon Silicon Systems Ltd is seeking a dynamic and forward thinking Business Analyst to drive internal business optimisation, AI enablement, operational efficiency, and data driven decision making across multiple departments.

In addition to core business analysis responsibilities, this role will also actively support Business Development activities, including participation in trade fairs, customer pipeline insights, and market and competitor analysis.

This is an ideal position for someone who thrives in a cross functional environment and is passionate about leveraging data, automation, and strategic insight to shape both operational and commercial decision making.

• 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.

• 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.

• 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.

• Collaborating at Sensata means working with some of the world's most talented people in an enriching environment that is constantly pushing towards the next best thing.
• Employees work across functions, countries and cultures gaining new perspectives through mutual respect and open communication.
• As One Sensata, we are working together to make things work together.