Pros
Exposure to real-world problem solving in a fast-paced startup environment. Opportunity to take ownership of tasks and learn independently. Some scope to experiment with tools and automation, although largely self-driven.
Cons
Strict nine-hour daily policy with salary deductions for shortfall, regardless of productivity. Frequent expectation to work beyond hours and on weekends. Poorly designed database structure makes even simple queries complex and inefficient. Lack of proper data and infrastructure makes fraud detection and analysis extremely difficult. Minimal support from management—delayed responses, no regular feedback, and lack of one-on-one discussions. No investment in automation, leading to repetitive manual work. Constant pressure from business teams to generate insights from unreliable or incomplete data. Overall unstructured and frustrating work environment.