Carlo Menoro

Professional Experience

A continuous path in Business Intelligence, executive reporting, and data quality.

  1. Senior Data Analyst

    May 2024 – Jul 2026

    Vector Outsourcing Solutions Philippines Inc.

    Technologies: Power BI • DAX • SQL • Python • Excel • Google Apps Script • Google Workspace

    • Engineered daily, weekly, and monthly KPI reporting in Power BI and Excel, with DAX-based measures, that improved consistency and enabled faster operational decisions.
    • Used Python and Google Apps Script to automate recurring reporting and reduce manual consolidation across Excel and Google Workspace workflows, shortening turnaround time and limiting processing error.
    • Applied SQL-based analysis to convert medical-billing, insurance, and accounts-receivable data into financial and operational reporting for management planning.
    • Partnered with QA and operations leaders to validate performance data, identify trends, and drive process improvements.
  2. Business Analyst

    Feb 2023 – Apr 2024

    JACCS Finance Philippines Corp.

    Technologies: Power BI • SQL • Python • Excel • Financial Analytics • Process Improvement

    • Analyzed financial and industry KPIs using SQL-based queries and Excel models to surface trends and support revenue-oriented business propositions.
    • Built supporting Power BI dashboards and reporting views used to advise C-suite leaders through executive reports, competitive research, and strategic presentation decks.
    • Used Python for lightweight data preparation and analysis where it sped up recurring reporting tasks.
    • Standardized cross-department data collection by coordinating stakeholders around shared business goals and reporting requirements.
  3. AI Data Quality Specialist

    Apr 2021 – Feb 2023

    Appen

    Technologies: SQL • Python • Excel • Google Workspace • AI Data Quality

    • Evaluated AI training datasets, metadata quality, and search relevance across multiple AI programs using SQL-based queries and Python-assisted validation scripts, ensuring dataset integrity and consistent operational quality.
    • Performed structured data validation, metadata auditing, and quality assurance using established evaluation frameworks, translating findings into Excel and Google Sheets quality reports and improvement recommendations for program stakeholders.
    • Analyzed quality trends, identified recurring issues, and collaborated with cross-functional stakeholders using Google Workspace to improve annotation consistency and operational efficiency.
    • Supported data governance initiatives through root-cause analysis and continuous process improvement — early groundwork for the data-quality and BI work that followed.