Data Analyst Manager · Analytics Engineer

Chawwat Jundee

I design data pipelines end-to-end — from raw source to executive insight.

20+
Years in IT
100+
Dashboards Built
500+
Users Supported
0.88%
Forecast Error Achieved

About

Building the systems behind the decisions

I'm a Data Analyst Manager and Analytics Engineer with 20+ years in IT and 8+ years focused on business intelligence, data pipelines, and automation. I've built end-to-end systems from zero — replacing spreadsheet-based operations with modern BI stacks covering ingestion, ETL, modeling, dashboards, AI-driven insight, and automated delivery straight to decision-makers. My work spans forecast modeling that cut prediction error from 16% to under 1%, company-wide KPI frameworks, and production platforms running on Docker, PostgreSQL, n8n, and Power BI.

20+
Years of IT Experience
100+
Power BI Reports Delivered
500+
Users Across All Departments
0.88%
Overall Forecast Error

Skills

Technical Stack

BI & Visualization

Power BIDAXPower QueryMetabaseTableau

Database

PostgreSQL 16MySQLMS SQL ServerDBeaverSchema Design

Data Engineering

ETL Pipelinesn8n AutomatePower AutomateREST APIAWS

Programming

PythonPandasJavaScript / TypeScriptRSQL

Infrastructure

DockerLinux (Ubuntu)TraefikNext.jsVPS Deployment

AI & Analytics

Claude AIAI BuilderForecast ModelingAnomaly DetectionLead Analytics

Experience

Career Timeline

2025 — Present

Data Analyst Manager

Insurance Broker & Financial Services
  • Built the entire company data analytics system from zero — replacing spreadsheet-based operations
  • ETL multi-source pipeline: Database, API, SharePoint, AWS, n8n Automate
  • 100+ Power BI reports supporting 500+ users, cutting reporting time by 70–90%
  • Designed Dynamic Factor Forecast Model — reduced error from 16% to 0.88%
  • Defined company-wide KPI framework across Sales, Marketing, Finance, CRM, HR
  • Designed an end-to-end Data Governance Framework (Domains, Ownership, CDE, Quality Rules, Access Control, Glossary) with a 90-Day rollout roadmap
  • Built Company KPI and Department KPI dashboards for executive tracking
  • Designed a data model connecting 35+ database tables to power Partner and Sales Performance dashboards
2023 — 2025

Data Analyst — Radio Statistics & Analysis

Advanced Info Service Public Company Limited (AIS)
  • Worked cross-functionally with other departments to increase profit and reduce cost
  • Reduced electricity cost through network energy-saving initiatives
  • Built geolocation analysis comparing AIS sites against competitor coverage
  • Developed %market-share methodology for university campus areas
  • Increased new WiFi subscriber acquisition from the existing mobile subscriber base
  • Built CX Dashboard: Customer Experience, Segmentation, SIM Port-out analysis
  • Designed KPI 2025 framework for complaint handling
  • Developed algorithm to reduce No-Fault-Found (NFF) complaints
  • Automated team complaint-handling workflow
  • Appointed by the Head of Nationwide as a Data Steward within the company’s 130-person Data Governance Working Group — accountable for Network data quality and control across the Engineering organization
2019 — 2023

Data Engineer & Analyst — BSS Technical & Statistics

Advanced Info Service Public Company Limited (AIS)
  • Verified formulas, statistical models, and database templates for BSS reporting
  • Assessed impact of new network technologies with vendor teams
  • Contributed to network performance data pipeline development
2005 — 2019

Radio Planning & Optimization Engineer

Advanced Info Service Public Company Limited (AIS)
  • Managed planning budgets and ROI optimization for 4G/5G network coverage
  • Statistical monitoring and parameter tuning for nationwide mobile network

Education

Academic Background

2012 — 2014

Master of M.B.A. (Marketing)

Srinakharinwirot University

2002 — 2005

Bachelor of Engineering

King Mongkut's Institute of Technology Ladkrabang

Top 10 admission score in the Faculty of Engineering, full scholarship through graduation

Projects

Selected Work

Production systems and BI platforms — built end-to-end.

Achievements

Impact by the Numbers

16% → 0.88%

Forecast error reduced through Dynamic Factor modeling

3 days → 10 min

Reporting cycle automated end-to-end

100+

Power BI dashboards designed and deployed

500+

Users across Sales, Marketing, Finance, CRM, HR

0 → 1

Company data system built from zero to production

8

Key partner companies under automated Partner monitoring

Contact

Let's talk data

Open to Data Analyst Manager and Analytics Engineer roles. Reach out via email or LinkedIn — happy to walk through any of the projects above in more detail.