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