Pros
Great exposure to data analytics, visualization, dashboard development, and stakeholder management. Extensive use of Python and SQL for solving business problems. Opportunity to work with large datasets and gain domain knowledge in banking and lending. Collaborative teams and good learning opportunities for early-career data professionals.
Cons
Some work can become routine, especially reporting-related tasks. Decision-making and implementation can be slow due to regulatory requirements. Limited opportunities to experiment with newer technologies in certain teams. Workload may increase during critical business reporting periods.