Senior Data Analyst

Key Responsibilities: • Extract, clean, and analyze large datasets to identify patterns and trends. • Develop and maintain dashboards and reports to monitor business performance. • Work with cross-functional teams to improve data accuracy and accessibility. • Drive data strategy, customer segmentation, and portfolio risk analysis. • Contribute to AI-driven product innovations. Required skills and Qualifications: • Education: Bachelor's or Master’s degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related field. • Proficiency in Python for statistical modeling, ML algorithms, and exploratory data analysis, with hands-on experience in libraries such as Pandas, NumPy, Matplotlib, Seaborn, and scikit-learn. • Expert-level SQL capabilities for querying relational databases and performing data extraction and transformation. • Exposure to Tableau for developing dashboards and generating business insights. • Strong analytical thinking, with a focus on problem synthesis, root cause analysis, and data storytelling. • Experience with machine learning, deep learning, and natural language processing (NLP) is preferred. • Strong communication and storytelling skills. Optional Familiarity With: • Apache Airflow for data workflow automation. • Cloud computing platforms (AWS, GCP). • Version control systems (Git, Bitbucket).