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S&P Global Data Science & Analytics Department Reviews

Updated 6 Mar, 2025
Overall Rating
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4.2/5
based on 312 reviews

Rating distribution

Category Ratings

4.4

Company culture

4.4

Work-life balance

4.0

Job security

3.9

Skill development

3.9

Work satisfaction

3.8

Salary

3.4

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What employees say about S&P Global?

Insights from employee reviews on AmbitionBox

Workplace insights

Hybrid

Hybrid

85% employees reported

Monday to Friday

Monday to Friday

83% employees reported

Flexible timing

Flexible timing

85% employees reported

No travel

No travel

90% employees reported

Gender based rating

4.3
female

Rated by Women

103 reviews

4.2
male

Rated by Men

204 reviews

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Top Mentions in S&P Global Data Science & Analytics Department Reviews

312 reviews found

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People also ask about S&P Global's Data Science & Analytics Department

Is S&P Global's Data Science & Analytics Department a good place to work for?
The experience of working at any company can vary based on factors like team, manager, role, company policy etc. However, with an overall rating of 4.2 out of 5 from over 312 employee reviews, it's clear that most employees have a positive experience working at S&P Global's Data Science & Analytics Department. Company culture holds the highest rating at 4.4, while career growth is rated the lowest amongst all factors at 3.4. Read reviews about company culture and career growth on AmbitionBox.
Does S&P Global's Data Science & Analytics Department pay their employees well?
According to AmbitionBox reviews, S&P Global's Data Science & Analytics Department employees rate their salary and benefits at 3.8 out of 5, based on 312 reviews. The rating reflects an average level of satisfaction among employees regarding compensation and benefits, indicating that while employees find the compensation and benefits acceptable, there is room for improvement in these areas. You can know more about S&P Global's Data Science & Analytics Department salaries here and to read reviews specifically about salary and benefits at S&P Global's Data Science & Analytics Department, click here .
How is the work culture at S&P Global's Data Science & Analytics Department?
Work culture at S&P Global's Data Science & Analytics Department is rated 4.4 out of 5 by 312 employees on AmbitionBox, indicating a generally positive environment. Work culture encompasses aspects like collaboration, support, and overall employee satisfaction. The strong rating reflects a supportive and engaging atmosphere at S&P Global's Data Science & Analytics Department. To read reviews specifically about work culture at S&P Global's Data Science & Analytics Department, click here .
How is the job security at S&P Global's Data Science & Analytics Department?
Based on 312 reviews on AmbitionBox, S&P Global's Data Science & Analytics Department employees rate job security at 4.0 out of 5. This high rating reflects strong employee confidence in the stability and security of their roles at S&P Global's Data Science & Analytics Department, indicating that most employees feel secure in their positions and trust the company to provide a reliable work environment. To read reviews about job security at S&P Global's Data Science & Analytics Department, click here .
Is work from home available at S&P Global's Data Science & Analytics Department?
According to AmbitionBox, 5% of S&P Global's Data Science & Analytics Department employees work from home permanently, 10% work from the office, and 85% follow a hybrid model, based on 39 reviews in the last 6 months. This reflects a flexible approach to work arrangements. To read reviews specifically about work-life balance, click here.
How do I get a job at S&P Global's Data Science & Analytics Department?
To get a job at S&P Global's Data Science & Analytics Department, start by browsing the current open positions here and apply for roles that align with your skills and interests. It’s crucial to tailor your resume and cover letter to highlight relevant experience. Additionally, research top S&P Global interview questions and practice your responses to prepare thoroughly.

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