Posted:
2/18/2026, 5:44:01 PM
Location(s):
England, United Kingdom ⋅ Swindon, England, United Kingdom
Experience Level(s):
Junior ⋅ Mid Level ⋅ Senior
Field(s):
Business & Strategy
Key Responsibilities
Business Analysis & Optimisation
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.
AI & Automation
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.
Data-Driven Insights
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.
Project Support
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.
Business Development
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.
Required Skills & Experience
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.
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 OneSensata, we are working together to make things work together
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Website: https://www.sensata.com/
Headquarter Location: Attleboro, Massachusetts, United States
Employee Count: 10001+
Year Founded: 2006
IPO Status: Public
Industries: Electrical Distribution ⋅ Hardware ⋅ Software