Pros
Got hands-on exposure to real client projects early on, including end-to-end pipeline automation work that delivered measurable impact (around 80% reduction in manual effort on one engagement). Decent learning ground for entry-level data analysts who want practical experience over textbook theory, and team-level colleagues were collaborative and willing to help you ramp up. You leave with a portfolio of work you can actually point to.
Cons
Data integrity and reporting standards felt inconsistent — the line between presenting data accurately and presenting what stakeholders wanted to see was not always clearly drawn, which put junior analysts in uncomfortable positions. Limited structured mentorship, unclear career progression for technical roles, and compensation that lags the market for the skill level expected. Raising process or accuracy concerns didn't always feel like a welcomed conversation.