Rael Metto

I am a data analyst with a strong foundation in transforming raw data into clear, actionable insights. I work comfortably across various tools, including Power BI, Excel (advanced formulas, pivot tables, and charts), Stata, and PostgreSQL. My experience also includes working with SurveyCTO, REDCap, and Google Looker Studio—especially in roles that involve data collection, cleaning, analysis, and visualization.

I enjoy creating interactive dashboards and reports that highlight trends, patterns, and key performance metrics to support data-driven decision-making. I’ve built visualizations and summaries for survey data, project monitoring results, and organizational reporting, always with clarity, accuracy, and audience needs in mind.

My workflow typically includes tasks such as data cleaning, validation, transformation, and developing visuals that clearly communicate findings to both technical and non-technical stakeholders. I pay attention to detail and am focused on delivering work that is both insightful and easy to interpret.

I am experienced in working with distributed and remote teams, adapting quickly to different time zones and collaboration tools. I communicate clearly, manage deadlines independently, and take initiative in solving problems through data.

In addition to technical tools, I have a growing understanding of how data supports monitoring and evaluation (M&E), impact tracking, and evidence-based decision-making in various sectors. I'm also building my portfolio of Power BI dashboards to demonstrate my ability to handle real-world datasets and present meaningful stories through visuals.

Currently, I’m focused on sharpening my skills further and taking on new challenges where I can support organizations in making sense of their data. I’m especially interested in remote opportunities that value strong analytical thinking, clear communication, and a practical approach to problem-solving with data.

I’m open to collaborations and roles where I can continue learning while contributing value through structured, reliable, and insightful data analysis.