.Collaborating with the data team and project supervisors to understand project objectives and define
analytical and reporting requirements for business and social-impact initiatives.
.Using SQL, R, and Python to extract, clean, organize, and prepare data from multiple sources for
analysis and reporting.
.Building and maintaining dashboards, reports, and visualizations in Power BI and Excel to support
internal decision-making and performance monitoring.
.Conducting exploratory data analysis and applying statistical and predictive techniques to identify
trends, patterns, and actionable insights.
.Developing and evaluating analytical models including logistic regression, decision trees, random
forest, clustering, and other machine learning techniques for prediction and classification tasks.
.Performing data validation and quality checks to improve the accuracy, consistency, and reliability of
analytical outputs.
.Preparing written summaries, visual presentations, and supporting documentation to communicate
analytical findings to the team.
.Supporting data-driven planning by responding to changing business themes, operational priorities,
and stakeholder requirements.