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Bio

David Pineros is a seasoned data analyst with expertise in financial modeling, data visualization, and big data techniques. Holding a Master in Corporate Finance, Bachelor of Finance, and a Business Intelligence with Big Data & Analytics Cloud degree from reputable institutions, he has developed a strong foundation in finance, data analysis, and business intelligence. Throughout his career, David has worked with prominent companies, including Kovah, Cornerstone Marketing Solutions, and BGL BNP PARIBAS, where he has applied his skills in financial analysis, data cleaning, and visualization to drive business decisions. Proficient in languages such as Python, SQL, R, and Tableau, he has successfully implemented financial models, developed dashboards, and created actionable reports for leadership. Currently based in Bogotá D.C., Colombia, David continues to expand his expertise in data-driven insights and strategic decision-making, leveraging his skills in data analysis, visualization, and financial modeling to drive business growth and success.

Experience

  • Kovah
    • United States
    • Marketing Data Analyst
      • Sep 2024 - Sep 2025
      • United States

      Visualize data using tools such as Power BI and Klipfolio to graphically represent designed KPIs and provide clear and concise reports. Integrating data from 3 new data sources to build a centralized health database, saving 20% of data processing and extraction time. Training and mentoring other team members in big data techniques and tools. Management of SQL databases and Business Intelligence. Analyze the revenue of the different business lines.

    • Financial & Marketing Data Analyst
      • Sep 2023 - Sep 2024
      • United States

      Support the annual budgeting and forecasting process, including variance analysis. Implement and manage databases in SQL and Google Sheets to optimize storage and access to business information. Build and maintain financial models to support decision-making and strategic initiatives. Develop dashboards and reports to provide leadership with actionable insights. Assist with monthly and quarterly reporting packages. Design and develop KPIs to measure the financial and operational efficiency of the company, facilitating strategic decision making. Use of Python (Pandas) to manipulate and analysis of data in JSON and CSV formats, allowing efficient and accurate management of large volumes of information.

    • Financial - FP&A Data Analyst
      • May 2019 - Sep 2023
      • Bogotá

      Supported the delivery of technology solutions to streamline and improve the mortgage loan process through data-driven insights and Agile methodologies. Conducted organizational analysis to identify gaps in capabilities and opportunities for process optimization. Utilized SQL, Python, and Power BI to analyze mortgage loan data, identify trends, and generate actionable reports for stakeholders. Managed risks across cross-functional teams and supported risk mitigation strategies to ensure project success. Conducted organizational analysis to identify gaps in capabilities and opportunities for process optimization, leveraging financial modeling and scenario analysis to evaluate impacts. Developed and maintained dynamic dashboards in Power BI/Tableau to visualize key financial metrics (e.g., loan portfolio KPIs, payment volumes) for non-technical stakeholders.

Education

  • 2022 - 2022
    Universidad del Rosario
    Business Intelligence with Big Data & Analytics Cloud, Business Intelligence
  • 2014 - 2019
    Universidad de La Salle
    Bachelor of Finance, Finance
  • 2021 - 2023
    Colegio de estudios superiores de administración – CESA
    Master in Corporate Finance, Corporate Finance

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