Patrícia Adelaide Ferreira Micano

Patrícia Adelaide Ferreira Micano

Data Analyst | Excel & Power BI | Business Intelligence (BI)
Reply rate:
-
Availability:
Full-time (40 hrs/wk)
Age:
25 years old
Location:
Lisbon, Lisbon, Portugal
Experience:
2 years
About

I am an aspiring Data Analyst with a strong foundation in Excel, Power BI, and data-driven problem-solving. Currently transitioning from my role in the retail sector, I am fully focused on building a career in data analysis, business intelligence, and data science. What I may not yet have in years of industry experience, I make up for with discipline, fast learning, and a real passion for transforming raw information into insights that help people make better decisions.

Over the past months, I have developed solid skills in Microsoft Excel, including advanced formulas, pivot tables, data cleaning, dashboards, automation logic, and structured reporting. I enjoy understanding how data behaves, identifying patterns, and creating clear visual solutions. Working with Excel daily helped me build an analytical mindset and a good eye for detail.

I also work with Power BI, where I am able to connect, transform, model, and visualize data, creating interactive dashboards that communicate results in a simple and visually appealing way. I am continuously improving my knowledge of DAX, data modeling, and visualization best practices so that every report I build is both meaningful and user-friendly.

At the moment, I am actively studying to become a Data Scientist, expanding my knowledge in statistics, SQL, business analytics, and data storytelling. My goal is to combine technical skills with strong critical thinking to support companies in making informed decisions that generate real value.

My background in retail has also given me valuable soft skills:

• excellent communication with clients

• ability to handle multiple tasks

• focus under pressure

• organisation and responsibility

• a natural sense of curiosity and problem solving

I am looking for opportunities where I can apply my analytical skills, grow professionally, work on real-world datasets, and contribute to meaningful projects. I am fully committed to learning, improving, and delivering high-quality work.

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