Brooks is a leading provider of automation solutions with over 40 years of experience in the semiconductor industry, offering precision robotics, integrated automation systems, and contamination control solutions that empower chip manufacturers worldwide. Our product portfolio includes a range of automation solutions, including robots, vacuum systems, and atmospheric robots for semiconductor manufacturing (www.brooks.com). Are you looking for a place where you can be part of a transformation? Join us at Brooks Automation and be a part of a dynamic organization that is shaping the future of technology. Senior Data & AI Analyst Job Description About the Role: The Senior Data & AI Analyst at Brooks is responsible for translating business needs into analytics, reporting, and AI-enabled insights that improve decision-making and support enterprise AI adoption. This is an exciting opportunity to join Brooks as we accelerate our digital transformation and expand our Data & AI capabilities across the Asia Pacific region. We are building a new team focused on leveraging advanced analytics, Generative AI, AI Agents, Microsoft Copilot, and modern cloud data platforms to drive business value across manufacturing, engineering, operations, and corporate functions. As a key member of this growing capability, you will help shape how AI is adopted across the organization by partnering closely with business stakeholders, identifying high-impact use cases, and transforming data into actionable insights and intelligent solutions. This role offers a unique opportunity to work at the intersection of business, analytics, and emerging AI technologies while contributing to the development of Brooks' long-term AI strategy in APAC. Work location: Onsite – Pasir Gudang, Johor Bahru Key Responsibilities: Data Analysis: Query, clean, and analyze data using Python (pandas, numpy), SQL, and business intelligence tools Business Intelligence: Develop dashboards, KPIs, reports, and executive-level insights using enterprise data platforms Semantic Modeling: Build and maintain semantic models, business metrics, and governed analytical datasets AI Strategy & Planning: Translate business requirements into AI-enabled analytics use cases with business value cases GenAI / LLM Use Cases: Build prompts for business use cases including summarization, Q&A, classification, and insight generation Evaluate outputs for accuracy, hallucination, relevance, and business usefulness Structure inputs using RAG, semantic models, and vector databases Leverage Microsoft Copilot, Fabric Data Agents, and Azure AI Foundry capabilities to create conversational analytics, knowledge retrieval, and decision-support solutions AI Agents: Design agents use cases that automate report generation, data queries, alerts, and business workflows Validate agent outputs and improve workflows with business feedback Partner with engineering teams to deploy and maintain enterprise AI agents using Microsoft Copilot, Azure AI Foundry, Microsoft Fabric, and OneLake-connected data assets Qualifications: 5-8 years in data analytics, business intelligence, ML, or AI-enabled analytics roles, with experience in Agentic AI Design & Development Analytics Skills: Advanced SQL, Power BI, and data visualization skills Ability to analyze datasets end-to-end and explain insights clearly to business stakeholders GenAI / LLM Exposure: Experience using tools like Claude, OpenAI ChatGPT or similar Proficient with modern GenAI tools like Cursor, Claude Code, Codex, etc. AI Agents: Experience designing, testing, or supporting AI agents using Amazon Bedrock, Microsoft Copilot, Azure AI Foundry, Microsoft Fabric Data Agents, or similar platforms Strong awareness of emerging agentic AI trends, multi-agent architectures, and AI governance practices Data Platforms: Rich experience with enterprise data platforms and cloud analytics ecosystems, including AWS Redshift, Microsoft Fabric, OneLake, Azure AI Foundry, and modern semantic data models Experience developing business-facing semantic layers and retrieval-ready datasets that support Copilot, Fabric Data Agents, and agentic AI solutions #LI-MV1 #LI-Onsite Work Location & Flexibility At Brooks, we aim to foster a collaborative and engaging environment while offering flexibility where possible. Work arrangements may include a mix of in-office and remote work, depending on the nature of the role and business needs. Specific expectations will be shared during the interview process. Brooks is committed to fostering a diverse and inclusive workplace and proudly serves as an equal-opportunity employer. We welcome all qualified applicants regardless of race, color, religion, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other legally protected characteristics. Diversity enhances our innovative capabilities and strengthens our ability to serve our customers and communities effectively. At Brooks Automation, we celebrate the unique experiences and perspectives each individual brings, believing they are essential to our collective success. Join us in building a workplace where every team member is valued and can thrive. For applicants with disabilities requiring accommodations, don't hesitate to get in touch with talentattraction@brooks.com or call +1 (978) 262-2400 to discuss your needs. Review EEO Law & EEO Statement. Since our founding in 1978, Brooks Automation has been a leading automation provider and trusted partner to the global manufacturing industry. Our customers choose the Brooks Automation platform because we consistently deliver best-in-class reliability and cost of ownership, with a solution that is optimized for value within their application. We deliver value through our understanding of the application challenge, providing solutions at scale that create an automated advantage for our customers. We are committed to innovation by continuously developing new product offerings and partnering with our customers to integrate solutions for their manufacturing process tools. This benefits our customers with improved throughput and yield and a lower cost of ownership.

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