Hands-on experience with real-world datasets and business problems
Exposure to tools like SQL (Redshift), Python, and BI dashboards
Supportive team and collaborative work environment
Opportunity to work on meaningful projects impacting business decisions
Good learning curve for beginners in data analytics
Cons
Fast-paced environment can be challenging for beginners initially
Limited structured training; more focus on self-learning
Occasional tight deadlines and workload pressure