Senior Data Analyst with Power BI & SQL Expertise

DATA ANALYST

NGUYEN THIEN KHOI

SUMMARY

Data Analyst with 3+ years of experience specializing in SQL-driven analytics, Power BI dashboarding, and Microsoft Fabric (Warehouse, Notebooks, Semantic Models). Delivered scalable reporting solutions and KPI frameworks that improved data accuracy and enabled faster, data-driven decision-making. Strong in translating complex business requirements into high-performance data models and actionable insights. Phone: +84-333-***-*** Address: Ho Chi Minh City, Vietnam Email: ****.*********@*****.***

CONTACT

SKILLS

SQL (T-SQL, Spark SQL)

Build reporting views and semantic models

Write optimized queries for large, complex datasets Python (PySpark)

Data cleaning, transformation, ETL development

Automation and exploratory data analysis (EDA)

Power BI

Develop dashboards and semantic models

Create DAX measures, optimize performance, implement RLS Microsoft Fabric

Data processing with Notebooks (PySpark, Spark SQL) Warehouse, Semantic Models, and Pipelines

Analytics & Data Quality

KPI design and performance tracking

A/B testing and hypothesis testing

Data validation and reporting accuracy

Ad hoc analysis to support business decision-making and answer on-demand reporting requests WORK EXPERIENCE

Beyondsoft Technology

Data Analyst May 2025 - Present

Acted as a LOB reporting owner, developing and maintaining Power BI dashboards based on Microsoft Fabric Warehouse reporting views to evaluate stakeholder performance. Designed and monitored customer experience KPIs (CSAT, FCR, volume metrics), delivering insights that improved service performance and supported decision-making. Technical Skills

Soft skills

Standardize reporting processes and KPI definitions Collaborate with global stakeholders (VN, CN, EU, US) Troubleshoot data issues and improve reporting logic Fluent in English (written & verbal)

ACADEMIC HISTORY

GPA: 3.2

Strong foundation in financial data analysis and accounting principles. Proficient in analyzing and interpreting financial statements to support decision-making. Bachelor of International Finance

University of Economic Ho Chi Minh City 2018-2022 Financial Project Executive 2021-2022

We Food Company

Executed the ERP system for the company and supported other departments in its implementation and usage.

Optimized administrative tasks and assisted the QC team in managing inventory more effectively. Prepared financial monitoring reports, including Sales Reports, Product Margin Analysis, and Customer Profitability Reports.

Financial Business Analyst 2022-2023

Central Retail Vietnam

Developed and maintained Python scripts for automated data extraction, improving reporting accuracy and reducing manual processing efforts.

Designed Power BI dashboards to analyze sales trends, budget variance, ticket performance, and average basket size, supporting performance monitoring for management. Prepared weekly and monthly analytical reports, highlighting key performance drivers and variances to assist decision-making.

Collaborated with the finance team to resolve data discrepancies, validate reporting logic, and ensure consistency across financial reports.

Projects:

1.Asia & Turkey Pricing Rate Dashboards (Power BI, SQL, Python, VBA) Developed Power BI dashboards to validate shipping contract rates by integrating SQL and Python for data processing, with VBA automating Excel-based data extraction. Improved visibility into rate discrepancies and supported operational teams in maintaining pricing accuracy and reporting reliability.

2. Vietnam Inquiry & Sales Reports (Python, Power BI) Automated data extraction from multiple Excel files using Python and built Power BI dashboards to track inquiry and sales performance trends.

Enhanced reporting efficiency and enabled management to monitor sales performance and operational metrics more effectively.

Barsan Global Logistics

Data Analyst 2023-2025

Standardized KPI frameworks across business units, improving data consistency and enabling reliable performance tracking across dashboards.

Supported migration from Databricks to Microsoft Fabric, ensuring data accuracy, KPI consistency, and uninterrupted reporting for business stakeholders. Identified and resolved data discrepancies, improving report accuracy and increasing stakeholder trust in analytics outputs.

Managed and tracked reporting-related work items within sprint cycles, coordinating with data and engineering teams to ensure timely delivery.

Collaborated with regional stakeholders to gather requirements, provide technical advisory on data feasibility and modeling approaches, and deliver new analytical reports aligned with business needs

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