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.  

Work Location: Onsite – Pasir Gudang, Johor Bahru. 

Key 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) 

• - 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 

Qualifications: 

• At least 3-5 years’ experience 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. 

• - Use Microsoft Copilot, Fabric Data Agents, and Azure AI Foundry capabilities to create conversational analytics, knowledge retrieval, and decision-support solutions 

• AI Agents: 

• - Experience building working integrated agents, in Bedrock and/or Azure/Copilot 

• - Strong awareness of emerging agentic AI trends and tools 

• - Develop and maintain enterprise AI agents leveraging Microsoft Copilot, Azure AI Foundry, Microsoft Fabric, and OneLake-connected data assets 

• Data Platforms: 

• - Rich experience and knowledge of data warehouses - specifically AWS Redshift and/or Azure Foundry 

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