Data Analyst SQL & Power BI

Anh Bui

513-***-****• *****@****.**.*** • Cincinnati, OH • www.linkedin.com/in/anh-bui-695133251

EDUCATION

The University of Cincinnati, Carl H. Lindner College of Business Cincinnati, Ohio Bachelor of Science, Business Analytics Expected Graduation: May 2026 Bachelor of Arts, Information System

GPA: 3.853

Awards and Honors: Dean’s List, UC Global Scholarship, and UC Outreach Award.

Certificates: Google Data Analytics Professional, IBM Data Analyst Professional SKILLS

Tools: SQL, Tableau, Power BI, R, Python, Informatica Power Center. WORK EXPERIENCE

Data Intern May 2024 – December 2024

Great American Insurance Group Cincinnati, Ohio

Analyzed and validated thousands of records using Informatica PowerCenter on-premises to ensure clean, consistent datasets for reporting and business analysis across client projects.

Retrieved and analyzed large datasets from Snowflake using advanced SQL queries to support data reporting and business insights.

Collaborated with cross-functional teams, including Business Analytics, to design client-facing dashboards using Power BI, enabling data-driven decision-making and improving client engagement. FDI Intern June 2023 – August 2023

Bank for Investment and Development of Vietnam – FDI Department Vietnam

Analyzed five years of foreign client investment data using Tableau to identify trends in client inflow and sector- specific activity, supporting strategic decisions on international investment engagement.

Developed and maintained Excel models and Power Pivot dashboards to track currency fluctuations and their impact on foreign investment behavior across regions. Student Worker January 2023 – May 2023

University of Cincinnati - Undergraduate Admissions Cincinnati, Ohio

Managed and processed hundreds of incoming application documents weekly by sorting, scanning, and organizing physical mail to support timely admissions decisions.

Entered and matched applicant data in Slate CRM, ensuring accurate linkage between submitted materials and student records to streamline application workflows.

PROJECTS

Third Place - Case Competition, 84.51 February 2024 – March 2024

Analyzed over 1 million Kroger transaction records using R to uncover top product categories segmented by age group, income level, and seasonal trends, enhancing customer segmentation strategies.

Delivered a data-driven presentation to Kroger executives, showcasing actionable insights through ggplot2 visualizations, leading to positive feedback on analytical rigor and business applicability.

Collaborated effectively with a 5-member team from different academic backgrounds—including marketing, data science, and finance—to develop a well-rounded business solution. Barcelona Player Performance Analysis

SQL Server Management Studio, Power BI - 5-year dataset

Analyzed multi-season player data across relational tables using SQL, focusing on demographics (age, nationality, height) and performance metrics (e.g., shots, pass completion, health) to uncover individual and team trends.

Modeled and visualized insights using Power BI and DAX with radar and gauge charts, enabling clear comparisons across players and seasons, and supporting flexible analysis by player role and background. Global Billionaires Visualization

Power BI 2023 dataset

Visualized global distribution of billionaires using Power BI map charts, integrating data on net worth, company, category, and location to reveal wealth concentration patterns by region and country.

Built a location-based drill-down hierarchy (continent country city) to enable interacƟve geographic analysis, enhancing user engagement and insight discovery through dynamic filtering.

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