S&P Global

Pros: The work-life balance here is actually quite good, especially for a large financial data firm. My team in the Denver office respects boundaries. We've got a flexible hybrid model, doing two days in the office and three remote, which makes managing personal life much easier.
Cons: Career growth for data analyst roles isn't always super clear, sometimes it feels a bit ad-hoc. Also, for entry-level finance roles, the pay could be a bit more competitive compared to other major players.
Advice to Management: Standardize and clearly communicate career paths for data scientists and analysts. It would also be good to review entry-level compensation to stay competitive in the market.

Pros: The training programs are solid for the financial services industry. You can learn a lot about market intelligence. There's good internal mobility if you network well within the New York City office.
Cons: Career growth for Data Analyst roles can feel very structured, almost too rigid. Promotions don't come fast, even with good performance. It's a big company, so getting noticed is tough.
Advice to Management: Focus more on accelerating clear career paths for high-performing individual contributors. Streamline the promotion process, it feels bureaucratic sometimes.

Pros: You get access to solid financial data resources as a Data Analyst. There's a lot of knowledge in the corporate structure if you find the right mentors. The hybrid model works pretty well for office days.
Cons: Leadership can be pretty disconnected from day-to-day operations. It felt like some managers lacked a clear vision for their teams, especially with long-term projects. Communication from the top sometimes felt really slow.
Advice to Management: Invest more in leadership training for mid-level managers. Encourage more transparent communication from senior leadership regarding company strategy and changes. Help managers develop clear roadmaps for their teams.