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Ernst & Young Data Science & Analytics Department Reviews

Updated 25 Mar, 2025
Overall Rating
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3.5/5
based on 645 reviews

Rating distribution

Category Ratings

3.7

Job security

3.5

Skill development

3.3

Company culture

3.2

Salary

3.1

Work-life balance

3.0

Promotions

3.0

Work satisfaction

What employees say about Ernst & Young?

Insights from employee reviews on AmbitionBox

Workplace insights

Hybrid

Hybrid

84% employees reported

Monday to Friday

Monday to Friday

95% employees reported

Flexible timing

Flexible timing

77% employees reported

No travel

No travel

54% employees reported

Gender based rating

3.3
female

Rated by Women

164 reviews

3.5
male

Rated by Men

468 reviews

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Top Mentions in Ernst & Young Data Science & Analytics Department Reviews

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People also ask about Ernst & Young's Data Science & Analytics Department

Is Ernst & Young'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 3.5 out of 5 from over 645 employee reviews, it's clear that most employees have an average experience working at Ernst & Young's Data Science & Analytics Department. Job security holds the highest rating at 3.7, while career growth is rated the lowest amongst all factors at 3.0. Read reviews about job security and career growth on AmbitionBox.
Does Ernst & Young's Data Science & Analytics Department pay their employees well?
According to AmbitionBox reviews, Ernst & Young's Data Science & Analytics Department employees rate their salary and benefits at 3.2 out of 5, based on 645 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 Ernst & Young's Data Science & Analytics Department salaries here and to read reviews specifically about salary and benefits at Ernst & Young's Data Science & Analytics Department, click here .
How is the work culture at Ernst & Young's Data Science & Analytics Department?
Work culture at Ernst & Young's Data Science & Analytics Department is rated 3.3 out of 5 by 645 employees on AmbitionBox, indicating an average environment. Work culture encompasses aspects like collaboration, support, and overall employee satisfaction. The rating reflects that while some aspects of the work culture are satisfactory, there is room for improvement in certain areas.To read reviews specifically about work culture at Ernst & Young's Data Science & Analytics Department, click here .
How is the job security at Ernst & Young's Data Science & Analytics Department?
Based on 645 reviews on AmbitionBox, Ernst & Young's Data Science & Analytics Department employees rate job security at 3.7 out of 5. This lower rating indicates that a significant number of employees may have concerns about their job stability and the reliability of their roles at Ernst & Young's Data Science & Analytics Department. To read reviews about job security at Ernst & Young's Data Science & Analytics Department, click here .
Is work from home available at Ernst & Young's Data Science & Analytics Department?
According to AmbitionBox, 3% of Ernst & Young's Data Science & Analytics Department employees work from home permanently, 13% work from the office, and 84% follow a hybrid model, based on 136 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 Ernst & Young's Data Science & Analytics Department?
To get a job at Ernst & Young'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 Ernst & Young interview questions and practice your responses to prepare thoroughly.

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