Hai Luan Ngo

I have worked as a Business Intelligence Analyst in the FMCG industry, primarily supporting project management, data-driven decision-making and optimising sales performance through data analysis, and process optimisation. As a result, I am strong not only in project delivery, data analysis & visualisation with Power BI and Tableau, but also in leading cross-functional teams to deliver actionable insights.

Career Break – Period of Study to complete the Master’s program | 2022 – 2024. 

Salesforce Effectiveness Manager                                                          Mar 2021 to Apr 2022

VNG Corporation - VNG focuses on online games, communications and media, fintech, and digital business, and on researching and exploring further opportunities in Data Centers and AI.

• Led the successful migration from an outdated internal CRM to Salesforce, impacting over 300 sales and operations team members, resulting in a 100% adoption rate and streamlined sales processes across the company.
• Developed and implemented a new operational sales process aligned with the Salesforce system, enhancing lead management, account conversion, and allocation workflows, which contributed to a 7% year-over-year increase in sales performance.
• Designed and delivered comprehensive training programs and post-rollout change management initiatives for over 300 staff, significantly improving user competency and accelerating system adoption. 
• Created and maintained automated Power BI dashboards integrating Salesforce data, providing real-time sales and performance insights to senior management and regional sales heads, driving data-driven decisions that increased sales team accountability and operational efficiency.
• Initiated a new sales team performance evaluation model, highlighting sales trends and risks early, enabling proactive management interventions that mitigated revenue loss and optimised market execution strategies.

Project Management Officer                                                                    Feb 2020 to Feb 2021
Samsung Electronics Vietnam (Savina)

• Led the Customer Value Proposition (CVP) project by collaborating closely with sales teams and key retail partners to develop strategic planograms based on integrated consumer insights (GFK data) and internal sales performance, resulting in optimised display layouts that enhanced product visibility and customer engagement.
• Strengthened partnerships with major distributors such as DMX (top 1) and Nguyen Kim (top 2) by aligning retail execution plans with consumer demand trends, contributing to a measurable uplift in sales and improved customer satisfaction.

Sales Efficiency & Information System Assistant Manager                     Aug 2018 to Jan 2020

Unilever Vietnam (UVN)   

• Led the Customer Development (CD) Digitalised Agenda project as the end-to-end project owner, successfully gathering and translating business requirements into functional specifications to develop dynamic, interactive Tableau dashboards that empowered over 2,000 sales users with real-time digital reports.
• Established and enforced robust data governance frameworks, defining data standards and implementing continuous data quality monitoring, significantly reducing data errors and enhancing trust in analytics outputs. 
• Collaborated effectively with cross-functional team, including sales, IT, and business units, to ensure project deliverables aligned with evolving business needs and maintained compliance with best data management practices.
• Applied Agile methodology to manage the full project lifecycle. For example, covering requirement gathering, design, user acceptance testing (UAT), model validation, and performance testing, delivering the project on time and within scope, improving reporting accuracy and sales decision-making.

Business Intelligence & Commercial Analyst                                         Jul 2015 to Aug 2018

Coca Cola Vietnam

• Spearheaded data integration and analysis initiatives (3 countries), leveraging Power BI and innovative tools like chatbots and Margin Minder to deliver actionable insights across sales, commercial, finance, and supply chain teams.
• Ensured data quality and integrity through continuous validation, rigorous quality checks, and end-user consultation, enabling trusted and timely reporting from Coca-Cola to distributors and retailers.
• Delivered impactful cost-saving initiatives, including budget optimisation around cooler assets, resulting in over $100,000 in savings.
• Collaborated with key account and business unit teams to identify risks and opportunities, conduct range reviews, and implement new product planograms to enhance the shopper experience.
• Mapping between Nielsen and sales data to analyse and propose customer-level analysis.
• Using Spaceman (Nielsen software) and propose an updated layout based on analysis. 

Sales Analyst                                                                                           Oct 2011 to Jun 2015

Richfield – Wrigley Vietnam

• Delivered timely and actionable sales performance reports (Excel) (sell-in/sell-out, inventory, ad hoc analyses) to support data-driven decisions across sales and marketing teams (100+ members).
• Managed and optimised the free goods budget, strategically aligning allocations with marketing campaigns to maximise ROI and customer engagement (2 or 3 brands per month).
• Streamlined incentive calculation processes for the nationwide sales team, ensuring transparency and performance alignment.

Master of Business Information Systems - Business Analytics                                         2022 – 2024

Swinburne University of Technology, Melbourne

University Project

Swinburne University, Group Project                                                      Feb 2024 to May 2024

-    Conducted a comprehensive data analysis project to forecast property price increases across Sydney suburbs over a 3 to 5 years and assess buyer preferences.

-    Utilised Tableau to visualise current market trends, and applied BigML (Decision Tree methodology) for predictive modelling and model accuracy evaluation.

• Demonstrated proficiency in data storytelling, market forecasting, and model evaluation, strongly emphasising real estate trends and buyer behaviour analysis.