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Filter reviews by Gartner Data Science & Analytics Department Reviews
Overall Rating
based on 102
reviews
What employees say about Gartner?
Insights from employee reviews on AmbitionBox
Workplace insights
Hybrid
89% employees reported
Monday to Friday
100% employees reported
Flexible timing
85% employees reported
No travel
86% employees reported
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Gender based rating
Rated by Women
30 reviews
Rated by Men
64 reviews
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in Gartner Data Science & Analytics Department Reviews
102 reviews found
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Senior Software Engineer 1 interview
Q1. A coding problem that uses recursion
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Q3. Print whole Fibonacci series using recursion.
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Research Associate interview
Q4. Can you research about any software product and tell what it does?
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Q5. What are the key aspects of Selenium, including hooks, BDD, Page Factory, d ... read more
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People also ask about Gartner's Data Science & Analytics Department
Is Gartner'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 102 employee reviews, it's clear that most employees have a positive experience working at Gartner's Data Science & Analytics Department.
Work-life balance holds the highest rating at 4.5, while career growth is rated the lowest amongst all factors at 3.3.
Read reviews about
work-life balance
and
career growth
on AmbitionBox.
Does Gartner's Data Science & Analytics Department pay their employees well?
According to AmbitionBox reviews, Gartner's Data Science & Analytics Department employees rate their salary and benefits at 3.7 out of 5, based on 102 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 Gartner's Data Science & Analytics Department salaries
here
and to read reviews specifically about salary and benefits at Gartner's Data Science & Analytics Department,
click here
.
How is the work culture at Gartner's Data Science & Analytics Department?
Work culture at Gartner's Data Science & Analytics Department is rated 4.4 out of 5 by 102 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 Gartner's Data Science & Analytics Department. To read reviews specifically about work culture at Gartner's Data Science & Analytics Department,
click here
.
How is the job security at Gartner's Data Science & Analytics Department?
Based on 102 reviews on AmbitionBox, Gartner's Data Science & Analytics Department employees rate job security at 4.2 out of 5. This high rating reflects strong employee confidence in the stability and security of their roles at Gartner'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 Gartner's Data Science & Analytics Department,
click here
.
Is work from home available at Gartner's Data Science & Analytics Department?
According to AmbitionBox, 6% of Gartner's Data Science & Analytics Department employees work from home permanently, 5% work from the office, and 89% follow a hybrid model, based on 18 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 Gartner's Data Science & Analytics Department?
To get a job at Gartner'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 Gartner interview questions and practice your responses to prepare thoroughly.
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