Data Analyst - II

Role Overview: You will be responsible for extracting, cleaning, and analyzing large datasets to identify patterns and trends. Additionally, you will develop and maintain dashboards and reports to monitor business performance. Working with cross-functional teams to improve data accuracy and accessibility will be a key aspect of your role. Conducting deep-dive analysis on customer behavior, transactions, and engagement to enhance retention and acquisition strategies will also be part of your responsibilities. Identifying potential risks, anomalies, and opportunities for business growth using data will be crucial in this role. 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. - Conduct deep-dive analysis on customer behavior, transactions, and engagement to improve retention and acquisition strategies. - Identify potential risks, anomalies, and opportunities for business growth using data. Qualifications Required: - Bachelor's or Masters degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related field. - Minimum 1 year of domain exposure in Banking, Lending, or Fintech verticals. - Advanced knowledge of Python for data analysis, with familiarity in EDA, feature engineering, and predictive analytics. - Expertise in SQL for data querying and transformation. - Mandatory experience in Tableau for building executive dashboards and visual storytelling.,