Data Analyst - II

As a Data Analyst in our dynamic fintech environment, your primary responsibility will be to extract, clean, and analyze large datasets to identify patterns and trends. You will play a crucial role in developing and maintaining dashboards and reports to monitor business performance. Collaborating with cross-functional teams, you will work towards improving data accuracy and accessibility. Conducting deep-dive analysis on customer behavior, transactions, and engagement will enable you to enhance retention and acquisition strategies. Additionally, you will be expected to identify potential risks, anomalies, and growth opportunities using data. To excel in this role, you should hold a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related field. A minimum of 1 year of domain exposure in Banking, Lending, or Fintech verticals is required. Proficiency in Python for data analysis, including EDA, feature engineering, and predictive analytics, is essential. You should also possess expertise in SQL for data querying and transformation, as well as mandatory experience in Tableau for building executive dashboards and visual storytelling. While not mandatory, exposure to Apache Airflow for the orchestration of ETL workflows, cloud platforms such as AWS or GCP, and version control tools like Git or Bitbucket would be beneficial. This role offers the opportunity to work on real-time data pipelines, credit risk models, and customer lifecycle analytics.,