Job Title

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 & 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, 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.