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Ipsos Data Science & Analytics Department Reviews

Updated 23 Jun, 2024
Overall Rating
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2.2/5
based on 5 reviews

Rating distribution

Category Ratings

2.8

Job security

2.3

Salary

2.3

Promotions

1.9

Company culture

1.8

Work-life balance

1.8

Skill development

1.7

Work satisfaction

What employees say about Ipsos?

Insights from employee reviews on AmbitionBox

Workplace insights

Work from office

Work from office

85% employees reported

Monday to Friday

Monday to Friday

96% employees reported

Flexible timing

Flexible timing

77% employees reported

No travel

No travel

73% employees reported

Gender based rating

2.1
female

Rated by Women

13 reviews

2.3
male

Rated by Men

34 reviews

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Top Mentions in Ipsos Data Science & Analytics Department Reviews

5 reviews found for "learning"

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Top Ipsos Interview Questions

Q1. What are the preventive measures if regression assumptions are not met?
Q2. How is the effectiveness of a campaign analysed ?

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Q3. How to calculate area of cube
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Q5. What do you know about Ipsos?
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People also ask about Ipsos's Data Science & Analytics Department

Is Ipsos'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 2.2 out of 5 from over 5 employee reviews, it's clear that most employees have a below average experience working at Ipsos's Data Science & Analytics Department. Job security holds the highest rating at 2.8, while work satisfaction is rated the lowest amongst all factors at 1.7. Read reviews about job security and work satisfaction on AmbitionBox.
Does Ipsos's Data Science & Analytics Department pay their employees well?
According to AmbitionBox reviews, Ipsos's Data Science & Analytics Department employees rate their salary and benefits at 2.3 out of 5, based on 5 reviews. This lower rating reflects a significant level of dissatisfaction among employees regarding compensation and benefits, suggesting that many may feel undercompensated. You can know more about Ipsos's Data Science & Analytics Department salaries here and to read reviews specifically about salary and benefits at Ipsos's Data Science & Analytics Department, click here .
How is the work culture at Ipsos's Data Science & Analytics Department?
Work culture at Ipsos's Data Science & Analytics Department is rated 1.9 out of 5 by 5 employees on AmbitionBox, indicating a below-average environment. Work culture encompasses aspects like collaboration, support, and overall employee satisfaction. This lower rating suggests that employees may experience challenges in aspects like collaboration, support, and overall satisfaction. To read reviews specifically about work culture at Ipsos's Data Science & Analytics Department, click here .
How is the job security at Ipsos's Data Science & Analytics Department?
Based on 5 reviews on AmbitionBox, Ipsos's Data Science & Analytics Department employees rate job security at 2.8 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 Ipsos's Data Science & Analytics Department. To read reviews about job security at Ipsos's Data Science & Analytics Department, click here .
Is work from home available at Ipsos's Data Science & Analytics Department?
According to 13 AmbitionBox reviews, Ipsos's Data Science & Analytics Department does not currently offer any work-from-home options. All employees work from the office, reflecting a fully on-site work arrangement. To read reviews specifically about work-life balance, click here.
How do I get a job at Ipsos's Data Science & Analytics Department?
To get a job at Ipsos'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 Ipsos interview questions and practice your responses to prepare thoroughly.

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