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Huu Toan Nguyen

Senior Data Analyst · Analytics Engineer_

Engineering business-first data systems that close the gap between numbers and real-world execution.

Huu Toan Nguyen portrait

Summary

I'm interested in what happens after the analysis. I take a business problem end to end — scoping it with the teams who own the process, building the automated pipeline and the data model, then the dashboard, the predictive model, or the internal app, depending on what the problem actually needs. Increasingly that includes agentic AI for the parts nobody should be doing by hand. Most of the value still comes from the decisions before the code: what to measure, what to leave out, and how simple it has to be for the people who act on it.

Experience

10/2024 – Present

Independent Data & App Consultant

End-to-end data partner for two marketing agencies (digital & event): scoping, building, and deploying solutions independently, client by client.

Event Agency

10/2025 – Present

Brought the whole company onto a single AppSheet "mini ERP" built on standardized SOPs, turning years of untracked operations into usable business data.

Module CRM

Built a project-journal module centralizing all client-care interactions into one system instead of isolated account channels. Secured 100% client relationship continuity and zero project drops across 10+ staff handovers and ~20 active projects.

Module Project Management

Eliminated task-tracking bottlenecks and established an objective KPI framework for cross-functional teams through a three-tier task hierarchy of task group, task, and detail, with lifecycle email alerts and automated progress reports for the CEO.

Built a two-way sync that mirrors live project progress to each client's own Google Sheet and pulls their updates back to the server.

Secured company data by monitoring Shared Drive access and flagging any file shared outside the company.

Digital Marketing Agency

10/2024 – 01/2026

The agency ran on scattered Google Sheets. Numbers drifted from accounting's books, reports were pulled by hand, and task handoffs got lost in chat.

Discovery & Solution Scoping

Mapped the team's pain points into a target data model (fact/dimension tables) and API-source plan, locking scope with the owner before any build — avoiding costly rework.

Data Pipeline & Warehousing

Built an Apps Script data layer ingesting Google Analytics (GA4) and Search Console API data into Google BigQuery, feeding Looker Studio dashboards. Matched marketing and accounting numbers 100%, saving 2 working days a month on reconciliation.

06/2024 – 09/2024

Senior Data Analyst

Atlas · owner of ARIEL Bath, bathroom vanities and fixtures sold direct and through major ecommerce marketplaces

Ad Attribution Analysis: Showed Google Ads spend drove marketplace sales far more than the brand's own D2C store, using cross-channel correlation and time-lag analysis. Chose a simple linear regression deliberately — accurate enough, and simple enough for non-technical C-level to trust and act on.

A/B Testing: Partnered with marketing to test and iterate on promotions and campaigns, tailoring the test design to each project's goal to determine which approach performed best.

Dashboard Consolidation: Consolidated duplicate Tableau dashboards into a unified, faster-loading reporting hub with reliable, consistent metrics, eliminating the need to cross-check numbers across overlapping dashboards.

Enablement: Gave internal teams the ability to explore data and surface insights on their own, tailored to each person's actual needs, by training them on Looker Studio.

03/2023 – 05/2024

Data Analyst

Yes4All · cross-border e-commerce, home and fitness goods sold through major online marketplaces

Data Pipeline: Built and version-controlled ETL transformations in Git, deployed to Apache Airflow, keeping cross-functional teams on current data for daily decisions.

Dashboard & Reporting: Built inventory and supply-chain dashboards in Power BI and Superset, in collaboration with the sales, marketing, accounting, and supply-chain teams, so operations could place orders on time.

Pricing Analysis: Let executives test price scenarios before committing to marketplaces, by building a pricing simulation tool.

Automation & Alerts: Warned the right person before a stock issue became a real loss, with automated alerts across multiple channels.

07/2022 – 01/2023

Data Analyst

FP Logistics · B2B trucking & warehouse freight logistics provider

Data Modeling & Reporting: Built and optimized SQL queries for dashboards and visualizations, and created data marts from the company's data warehouse to meet specific departmental reporting needs.

11/2021 – 06/2022

Data Analyst

Mio App · social commerce startup for fresh groceries, raised $9.1M across Seed and Series A

Dashboard & Reporting: Built dashboards for the Board of Directors, stakeholders, sales, and finance by running ETL processes on the data warehouse, giving each team direct access to critical business metrics.

04/2015 – 03/2021

Content & Activation Event Specialist

OPPO Vietnam · consumer electronics, one of the top smartphone brands in Vietnam

Sponsorship ROI Analysis: Measured sponsorship ROI of major TV shows and music campaigns using media, digital, and sales metrics; results guided the next season's sponsorship decisions.

Skills

Languages

PythonSQLJavaScript/TypeScriptGoogle Apps Script

Databases

PostgreSQLMySQLGoogle BigQueryDatabricks

Pipelines

ETL/ELTData ModelingdbtApache AirflowGit

BI Tools

Power BITableauLooker Studio

App Development & Deployment

Node.jsNestJSReactNext.jsDockerCI/CDAWS (EC2, S3, RDS, Lambda)

No-Code Apps

Google AppSheet

Applied AI

Machine LearningAgentic AI IntegrationMulti-Agent Orchestration

Projects

Education

Higher Education

Bachelor of Business Administration

University of Economics Ho Chi Minh City (UEH) · completed 2025

Associate Degree in Business Administration

Ho Chi Minh City College of Economics (HCE) · 2011 – 2014

Certifications & Bootcamps

AI Agent for Data Analytics & Decision Making

The Future Analyst · Jun – Jul 2026

Master Analytical Thinking

The Future Analyst · Jan – Mar 2026

Machine Learning Engineer Bootcamp

CoderSchool (IT W21) · Jul – Oct 2021 · Top 6 Researcher, Cohort 30

Full-Stack Development & DevOps Program

CyberSoft Academy · 2025 – 2026 · Frontend, Backend, and DevOps tracks

Python for Data Analysis & Machine Learning (3 certifications)

freeCodeCamp · May 2022