Analyse large datasets to extract meaningful insights and patterns. Uses statistical techniques and domain knowledge to uncover trends, correlations, and actionable information.
Create reports, dashboards, and visualizations that present data findings in a clear and comprehensible manner, using tools like Excel, Tableau, Power BI, or custom software to communicate complex data-driven insights to stakeholders, making it easier for decision-makers to understand and act on the information.
Builds predictive models using machine learning algorithms and statistical methods. These models can forecast future trends, customer behavior, sales, and more. Predictive modeling enables organizations to proactively plan and make decisions based on anticipated outcomes, optimizing resource allocation and strategies.
Performs data cleaning and quality assurance processes. Ensure that datasets are free from errors, inconsistencies, and missing values.
Pragmatic veteran with a strong interest in reporting and analytics. Experienced in extracting, transforming, and reporting on data from databases and spreadsheets utilizing SQL and other technologies. Proficient in manipulating data to create custom reports, charts, and dashboards.