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: I felt pretty secure in my Data Analyst role at S&P Global. It's a large corporate environment, so there's less volatility than a startup, which is great for job security. The financial data industry itself is quite stable.
Cons: Sometimes departments get reorganized, which can feel unsettling, even if it doesn't always lead to layoffs. For some in the hybrid work model, keeping up with internal shifts can be tough. There isn't always clear upward mobility.
Advice to Management: Focus on clearer communication during reorganizations. Invest more in internal growth and clear career progression for all roles, especially in data and tech.