Senior Data Analyst & Business Intelligence | SQL · Power BI · Qlik · Tableau · Python
I turn raw data into clear business decisions, building ETL pipelines, interactive dashboards, and analytical models that make complex information easy to act on.
Fernanda Borsari Miguel
Senior Data Analyst & Business Intelligence
I'm a Senior Data Analyst and Business Intelligence professional with 13 years of experience across some of the most demanding and diverse industries, from insurance and fintech to agribusiness, utilities, retail, telecom, and education.
My toolset spans Power BI, Qlik Sense, Tableau, Python, and SQL. No matter the sector, my work has always centered on the same challenge: making complex data understandable and actionable for the people who need to use it.
I own the full analytical lifecycle, from building ETL pipelines and data models to designing dashboards and presenting findings to stakeholders. I care about work that is reproducible, well-documented, and genuinely useful.
Based in McKinney, Texas. Open to opportunities where data drives real decisions.
Real datasets · Real pipelines · Real insights
Pharmacy Analytics · 1.2M transactions · 6 dashboard tabs
Designed to empower small pharmacy businesses with data-driven insights to optimize operations and drive growth. Powered by Qlik Sense with 1.2M rows, custom CSS, and Set Analysis expressions. Covers sales, insurance, geography, and patient behavior across 6 tabs. The kind of dashboard that goes beyond drag-and-drop.
Fictional dataset for portfolio purposes.
Heatmap extension by @YoshidaQlik
Auto Repair Analytics · 1.14M services · 15 stores · Jan–Jun 2026
Tableau Public dashboard for an auto repair chain across 15 Texas locations (Jan–Jun 2026). Star schema with 10 tables, tracking revenue, service types, inventory alerts, customer satisfaction, and store rankings. Built while learning Tableau.
Fictional dataset for portfolio purposes.
North Texas housing market · 18 cities · Redfin + Zillow · Forecasting
This project was born from a desire to better understand the North Texas real estate market: where it stands today, how it got here, and where it could be over the next 10 years. The analysis covers 18 cities, combining historical data from Redfin and Zillow to compare home values, appreciation, growth, and market behavior over time. Using this historical foundation, the project applies forecasting models to explore potential future scenarios. More than simply tracking numbers, the goal is to make housing market data easier to understand for everyday people, helping someone considering buying a home, moving to a new city, or simply understanding their local market see which areas are growing, which are slowing down, and where new opportunities may emerge.
Coming Soon
Open to data analyst and BI roles. Feel free to reach out. I'd love to talk about data, dashboards, and opportunities.