Pros
Strong learning environment with exposure to real business datasets and end-to-end analytics projects.
Opportunities to work on Power BI, SQL, Excel, and Python, which helps build a strong technical foundation.
Good support from team leads and managers, especially when working on complex dashboards or data pipelines.
Flexible work environment and opportunities to take ownership of tasks.
Encourages problem-solving, innovation, and automation-based improvements.
Cons
Workload can be high during critical reporting cycles (MTD, YTD, quarterly).
Limited documentation in some areas, which sometimes increases dependency on team knowledge.
Project timelines may occasionally be tight due to shifting business requirements.
Career growth structure could be more clearly defined.