Responsibilities

• Collect, clean, and organize large data from diverse sources, employing SQL, Python, and other tools.
• Apply advanced statistical techniques to analyze large datasets, identifying patterns and correlations.
• Translate complex findings into clear, actionable insights for non‑technical stakeholders.
• Create reports and analysis data daily and provide deeper insights to stakeholders.
• Create compelling data visualizations and reports using tools like Tableau or Power BI.
• Collaborate with cross‑functional teams to define data requirements and support data‑driven projects.
• Develop predictive models to forecast trends and outcomes based on historical data.
• Ensure data accuracy and integrity through rigorous validation processes.
• Identify problems and present written solutions ensuring accuracy and validity of information.
• Analyze data to identify potential risks/opportunities and...