Key Responsibilities:
Data Extraction & Transformation: Write clean, efficient Python code to extract data from various sources (APIs, databases, web scraping) and handle data wrangling/cleansing. Exploratory Data Analysis (EDA): Analyze large datasets to identify trends, anomalies, and hidden patterns that can impact business decisions. Automation: Design and maintain automated Python scripts to streamline recurring reporting, data validation, and analytical workflows. Data Visualization: Build clear, compelling data visualizations and dashboards to communicate technical findings to non-technical stakeholders.