Data Analyst

- Clean, transform, and validate large datasets from multiple sources.

- Conduct exploratory analysis to identify trends, patterns, and inconsistencies.

- Create clear visualizations using dashboards or reporting tools.

- Use Python (pandas, numpy) to automate reporting and streamline data workflows.

- Assist in developing scripts and internal tools to support operational efficiencies.

- Apply basic statistical or machine learning techniques for simple analytical tasks.

- Explore modern AI technologies (e.g., Generative AI, LLMs) to support internal initiatives.

- Prepare datasets for advanced modeling under senior guidance.

- Work closely with analysts, engineers, and business teams to understand data needs.

- Present findings and insights in clear and easy-to-understand formats.