Collaborate with stakeholders to understand data requirements and objectives.
Design and develop ETL processes to extract, transform, and load data from diverse sources into centralized repositories.
Clean, preprocess, and validate data to ensure accuracy, completeness, and consistency.
Conduct statistical analyses, including hypothesis testing, regression analysis, and clustering, to uncover patterns, trends, and insights in the data.
Develop and maintain interactive dashboards using visualization tools like Tableau, Power BI, or similar, to communicate key findings and facilitate data-driven decision-making.
Automate data workflows and processes to improve efficiency and scalability.
Perform ad-hoc analysis and provide actionable recommendations based on data insights.
Stay updated on industry trends, best practices, and emerging technologies in data analytics and visualization.