AI Data Analyst

About the role

The AI Data Analyst at Brooks is responsible for interpreting and managing data to influence the company's artificial intelligence solutions by extracting data from various sources, interpreting patterns, and analyzing results using statistical techniques. This newly created global-first AI Data Analyst role at Brooks is responsible for supporting the development and evaluation of AI-driven solutions through data analysis, insight generation, and model performance monitoring. As the first hire in this space, the successful candidate will play a pivotal role in shaping the function, influencing future capabilities, and contributing to the strategic direction of AI initiatives across the organization. Reporting to the Data Analytics Manager based in the US, you will contribute to the development and deployment of machine learning models and AI applications at Brooks, working with large datasets, applying statistical techniques, and collaborating with cross-functional teams to inform model development and business strategies.

Responsibilities

• Data Analysis: Query, clean, and analyze data using Python (pandas, numpy ) and SQL
• Python Development: Build reusable scripts, notebooks, and pipelines for analysis and reporting
• Model Management: Prepare features, evaluate models, run experiments, track performance
• AI Strategy & Planning: Translate business requirements into AI product roadmap & features with business value cases
• GenAI / LLM Use Cases:
• Build prompts for business use cases (summarization, Q&A, classification)
• Evaluate outputs (accuracy, hallucination, relevance)
• Structure inputs using RAG and vector database (retrieval from internal data)
• AI Agents:
• Design agents to automate tasks (report generation, data queries, alerts)
• Design and optimize agent workflows and tool usage
• Use tools/workflows (e.g., function calling, chains, orchestration tools)
• Data Pipelines:
• Transform and prepare data for ML and agentic use
• Ensure clean, structured datasets for downstream use
• AI & ML Ops:
• Track model performance and token optimization
• Identify drift, errors, and failures and resolve proactively
• Collaboration:
• Work with business + AI teams to turn problems into data/AI solutions
• Communication:
• Explain results simply (what happened, why, what to do next)
• Any other duties as assigned.

Requirements

• 3-5 years in data analytics, ML, or AI roles, with at least 1 year in Agentic AI Design & Development
• Extreme Python Skills:
• Proven skills using standard libraries ( sklearn , pandas, numpy , etc.)
• Ability to analyze datasets end-to-end
• 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 building working integrated agents, in Bedrock and/or Azure/Copilot
• Strong awareness of emerging agentic AI trends and tools
• Data Platforms:
• Rich experience and knowledge of data warehouses - specifically AWS Redshift and/or Azure Foundry
• #LI-MV1
• #LI-Onsite
• Work Location & Flexibility
• For applicants with disabilities requiring accommodations, don't hesitate to get in touch with talentattraction@brooks.com or call +1 (978) 262-2400 t

Benefits

Additional Information

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. AI Data Analyst Job Description Work Location : Onsite - Pasir Gudang, Johor Bahru.

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