Business Analytics Manager

Key Responsibilities 1. Team Leadership & Development • Recruit, lead, and develop the Business Analytics team • Set clear goals, conduct performance reviews, and build individual development plans for each team member • Create a culture of curiosity, data literacy, and continuous improvement within the team • Mentor team members in coding, AI, and data engineering best practices 2. Analytics Strategy & Architecture • Define and own the Business Analytics roadmap aligned with the NCC Strategy • Design NCC’s end-to-end data architecture: ingestion, storage, transformation, and delivery • Evaluate and adopt best-in-class tools and platforms for data warehousing, BI, and AI analytics • Establish data governance standards: data quality, lineage, cataloging, and access control 3. AI & RAG System Development • Lead the design and implementation of AI-powered analytics solutions using LLMs and RAG pipelines • Build and maintain organizational knowledge bases using vector databases and embedding models • Develop RAG-based Q&A systems that allow business users to query NCC data in natural language • Integrate LLM APIs (OpenAI, Azure OpenAI, Anthropic Claude) into internal analytics workflows • Define AI governance policies including responsible use, output validation, and privacy safeguards 4. Data Engineering & Coding • Architect and oversee production-grade ETL/ELT pipelines using Python, SQL, and cloud platforms • Review and approve code written by the team; enforce coding standards, testing, and documentation • Build reusable data models, APIs, and automated reporting pipelines that scale with NCC’s growth • Ensure all analytics systems are version-controlled, tested, and deployed through CI/CD workflows 5. Business Intelligence & Insights Delivery • Own the development of executive dashboards and KPI frameworks across NCC’s departments • Translate ambiguous business questions into structured analytical problems and clear deliverables • Present data-driven insights and recommendations to senior leadership and department heads • Partner with ITD Digital & Application and IT Operations teams to integrate analytics into products 6. Stakeholder Management • Act as the primary analytics partner for department heads, finance, operations, HR, and marketing • Facilitate data literacy workshops and training for non-technical business users across QSNCC • Define SLAs for analytics requests and manage expectations with business stakeholders • Represent Business Analytics in ITD steering committees and executive reviews Qualifications: Education • Bachelor’s degree (required) in Computer Science, Data Science, Statistics, Information Technology, or a related field • Master’s degree in Data Science, Artificial Intelligence, Business Analytics, or MBA (optional) • Relevant certifications: Microsoft Azure Data Engineer, AWS ML Specialty, Google Professional Data Engineer, or equivalent (preferred) Experience • Minimum 3-5 years of hands-on experience in data analytics, data engineering, or a related field • Minimum 1 years in a team lead, senior, or management role overseeing analytical or technical staff • Demonstrated experience building and deploying AI/ML or LLM-based solutions in a production environment • Proven track record designing and operating RAG pipelines with vector databases at scale • Experience working in hospitality, venue management, events is advantageous Coding & Engineering • Advanced Python programming: pandas, numpy, FastAPI, asyncio, pytest — confirmed through portfolio or technical assessment • Advanced SQL across multiple dialects (MySQL, PostgreSQL, MSSQL) including query optimization and database design • Experience with cloud data platforms: Azure Synapse, Databricks, AWS Redshift, or Google BigQuery • Working knowledge of JavaScript or TypeScript for API and lightweight front-end data integrations • Strong Git discipline: branching, pull requests, code reviews, and CI/CD pipelines for data products AI & Machine Learning • Hands-on experience integrating LLM APIs into business workflows (OpenAI, Azure OpenAI, Gemini, Anthropic Claude) • Experience with machine learning model development: classification, regression, forecasting using scikit-learn or similar • Prompt engineering expertise: designing, testing, and iterating prompts for consistent and reliable outputs • Familiarity with model evaluation metrics, A/B testing for AI features, and production model monitoring RAG & Knowledge Systems (Required) • Demonstrated experience building Retrieval-Augmented Generation (RAG) pipelines end-to-end • Practical knowledge of vector databases: Pinecone, Weaviate, ChromaDB, Qdrant, or pgvector • Experience with embedding models (OpenAI Ada, HuggingFace Sentence Transformers) and similarity search • Proficiency with orchestration frameworks: LangChain, LlamaIndex, or equivalent • Ability to design chunking strategies, document ingestion pipelines, and retrieval evaluation using RAGAS or similar frameworks • Understanding of hybrid search (dense + sparse retrieval), re-ranking, and context window management Human Resources Department N.C.C. Management & Development Co., Ltd. 60 Queen Sirikit National Convention Center,Ratchadaphisek Road, Khlong Toei Sub-district, Khlong Toei District, Bangkok TEL. 02-229-3610-14 Website: www.qsncc.com