Lisa Ye
@lisaye
Data Analyst with expertise in business intelligence and data management.
What I'm looking for
I'm a passionate Data Analyst currently working at CBRE Portugal, where I focus on enhancing data collection processes and developing insightful dashboards. My journey in data analysis began with a Bachelor's in Mathematics applied to technology and business, which laid a strong foundation for my analytical skills.
Currently pursuing a Master's in Information Management with a specialization in Business Intelligence at Nova IMS, I have honed my skills in Python, SQL, and data visualization tools like Power BI. My experience includes optimizing data workflows, managing data migrations to platforms like Snowflake, and conducting comprehensive data analyses to support audit activities at KPMG Portugal.
With a strong commitment to improving data accuracy and efficiency, I thrive on challenges that allow me to leverage my technical skills to drive business insights and support decision-making processes.
Experience
Work history, roles, and key accomplishments
Data Analyst
CBRE Portugal
Jul 2024 - Present (11 months)
Built automated processes for web scraping and data mining using Python, making data collection faster and more reliable. Developed ETL workflows tailored to reporting requirements, increasing efficiency and data accuracy. Managed data migration to Snowflake using SQL and developed dynamic dashboards in Salesforce and Power BI to improve client insights and project monitoring.
IT Auditor (Data & Analytics)
KPMG Portugal
Oct 2022 - Present (2 years 8 months)
Conducted comprehensive data analysis to support audit activities and ensure data accuracy. Performed SQL-driven reperformance of financial reports, including journal entries and impairment calculations, ensuring compliance with industry standards. Assessed integrity and completeness of financial data using SQL, Python, and Excel, and co-developed a Python-based data import application.
Developer of algorithms for Logistic Management
Galp Energy
Oct 2021 - Present (3 years 8 months)
Conducted comprehensive analysis of Liquified Natural Gas (LNG) consumption and forecasted consumption using machine learning. Developed resource allocation models based on forecasts. Created a user-friendly interface for data visualization in Python.
Education
Degrees, certifications, and relevant coursework
Nova IMS
Master's in Information Management, Business Intelligence
Enhanced skills in data analysis, business intelligence, and information management, adding a valuable dimension to my skillset as a data analyst.
ISEL
Bachelor's in Mathematics applied to technology and business, Mathematics applied to technology and business
Explored diverse mathematical areas, developing expertise in data science, programming, machine learning, modeling, and optimization.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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