Data Analyst with 8+ years in SQL, Power BI & Tableau
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Aspiring Data Analyst with 4+ years of experience working with operational, HR, and business data to support reporting and decision-making. Skilled in SQL, Power BI, Tableau, Excel, and Power Query, with hands-on experience in data cleaning, data analysis, dashboard development, and ETL processes through professional projects and analytics training. Proven ability to improve operational efficiency through data-driven insights, including reducing inventory stockouts by 15% and maintaining high data accuracy. Seeking to leverage analytical and problem-solving skills to contribute as a Data Analyst and support data-driven business decisions.
Matrix College
Professional Diploma in Business Intelligence & Data Analytics · Business Intelligence & Data Analytics
June 1, 2025 – September 1, 2025
Dagon University
Bachelor of Science · Botany
December 1, 2014 – February 1, 2018
Jing Yue Pte. Ltd.
Supervisor / Data Operations Analyst
February 1, 2024 – Present
Singapore, Central Singapore Community Development Council, Singapore
Nibban Electronic Company Ltd.
Human Resources Supervisor
May 1, 2021 – December 1, 2023
Yangon, Yangon Region, Myanmar
Frontiir Co., Ltd.
Human Resources Senior Associate
June 1, 2018 – May 1, 2021
Yangon, Yangon Region, Myanmar
LEGO Sets Market Analysis Dashboard
June 24, 2026 – Present
Analyzed 4,385 LEGO product records to uncover pricing patterns, set size distribution, and theme-level revenue trends using Power BI. Developed an interactive dashboard featuring KPI cards, slicers, and a Sankey diagram to communicate multi-dimensional insights to non-technical stakeholders.
Sales Data Analysis & Dashboard
June 24, 2026 – Present
Built a complete ETL pipeline from raw CSV ingestion through PostgreSQL to an interactive Tableau dashboard, demonstrating full data lifecycle proficiency. Developed SQL queries using joins, aggregations, CTEs, and window functions to clean and transform over 10,000 records for business reporting and analysis. Delivered insights on sales trends, customer purchasing behavior, and product performance, identifying top revenue-driving segments.
Retail Sales Performance Dashboard
June 24, 2026 – Present
Designed an end-to-end sales analytics solution using SQL for data extraction and Power BI for visualization, supporting product and customer performance tracking. Identified top-selling products, high-margin categories, and high-value customer segments, enabling targeted business strategy recommendations.
Analytics: From Data to Insights
National University of Singapore
June 1, 2026 – Present
Data Visualization
Tableau
April 1, 2026 – Present
Advanced SQL for Data Analysts
Python Myanmar
March 1, 2026 – Present
Preparing Data for Analysis with Microsoft Excel
Microsoft
October 1, 2025 – Present
Data Analysis and Visualization with Power BI
Microsoft
September 1, 2025 – Present
Introduction to Data Analytics
IBM
August 1, 2025 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from sales data analysis to LEGO market analysis, indicates a broad interest in applying data analytics across different domains. Their experience in both operational and HR data analysis, coupled with a recent transition into a dedicated data operations role, shows adaptability and a clear career trajectory towards data analytics. The pursuit of multiple certifications and a professional diploma in Business Intelligence & Data Analytics demonstrates a strong commitment to continuous learning and professional development, which aligns well with a growth-oriented culture. The candidate's background in HR also suggests an understanding of organizational dynamics and people-centric data, which can be valuable in cross-functional teams.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills, evidenced by their ability to identify recurring operational issues and recommend process improvements. Their experience in managing HR data operations and ensuring data integrity suggests a detail-oriented and responsible approach. The ability to communicate multi-dimensional insights to non-technical stakeholders indicates good data storytelling and presentation skills. The candidate's current role as a Supervisor/Data Operations Analyst also implies leadership and organizational capabilities.