Google Data Analytics Professional Certificate
Microsoft Certified: Power BI Data Analyst Associate
Tableau Desktop Specialist
TOEIC 850 Listening & Reading
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Over 8 years of experience in data analytics, business reporting, and delivering data-driven insights to support business decision-making. Strong expertise in processing and analyzing large datasets using SQL and Python, developing data visualization solutions with Power BI and Tableau, and designing data models for analytical and management reporting.
Experienced across Fintech, E-commerce, Logistics, and Enterprise Management domains. Skilled in data cleaning, transformation, aggregation, Dashboard development, KPI tracking, and reporting automation. Able to work closely with Business, Product, and Management teams to understand data requirements, identify trends, and translate complex datasets into actionable business recommendations.
Senior Data Analyst, May 2023 – Present
Responsible for developing data analytics solutions for a financial platform, focusing on customer behavior analysis, risk assessment, and business performance monitoring. Developed Power BI dashboards to help management monitor revenue, conversion rates, risk indicators, and key operational metrics.
Used SQL to query and aggregate data from PostgreSQL, while leveraging Python with Pandas and Scikit-learn for statistical analysis and basic predictive modeling. Collaborated with Data Engineers to integrate data into AWS Redshift and automate reporting workflows.
Presented analytical findings to Product and Business teams and provided data-driven recommendations to support business strategy and policy adjustments.
Data Analyst / Senior Data Analyst, February 2020 – April 2023
Analyzed operational and customer data for a healthcare management system. Developed Power BI reports to monitor operational efficiency, resource allocation, and service quality metrics.
Designed SQL queries to clean, aggregate, and validate data from MySQL databases. Used Python for statistical analysis, trend identification, and anomaly detection.
Collaborated with IT teams to implement Google Cloud for data storage and processing. Mentored junior Data Analysts on Dashboard design, data validation, and analytical reporting.
Data Analyst, June 2018 – January 2020
Analyzed customer, product, and sales data to support Marketing and Sales activities. Created Tableau dashboards to track customer behavior, campaign performance, and sales trends.
Used SQL and Excel for data cleaning, aggregation, and recurring reporting. Conducted basic A/B testing analysis to evaluate Marketing campaign effectiveness.
Within 24 hours, you will receive candidate profiles and a detailed quotation. Once the interviews and selection process are completed, the team can typically start within 7 business days.
The standard minimum contract period is 3 months to ensure project effectiveness. However, the contract duration can be adjusted flexibly based on each project phase and requirements.
Candidates go through a 4-step selection process: technical skills assessment, direct interview with our experts, English communication assessment, and practical work skills evaluation.
Yes. If a team member does not meet your expectations, Aegona will support you in replacing them with an equivalent resource upon request.
Yes. An NDA is signed for every project. Clients retain 100% ownership of the source code and intellectual property created for their project.
100% of our professionals working on international projects have strong English communication skills for technical and project-related communication.