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4.2

based on 7k Reviews

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Ericsson Data Science & Analytics Department Reviews

Updated 29 Jan, 2025
Overall Rating
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4.0/5
based on 196 reviews

Rating distribution

Category Ratings

4.1

Company culture

4.1

Work-life balance

4.0

Job security

3.6

Skill development

3.6

Work satisfaction

3.4

Salary

3.0

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What employees say about Ericsson?

Insights from employee reviews on AmbitionBox

Workplace insights

Hybrid

Hybrid

89% employees reported

Monday to Friday

Monday to Friday

85% employees reported

Flexible timing

Flexible timing

76% employees reported

No travel

No travel

69% employees reported

Gender based rating

3.9
female

Rated by Women

51 reviews

4.0
male

Rated by Men

142 reviews

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Top Mentions in Ericsson Data Science & Analytics Department Reviews

196 reviews found

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People also ask about Ericsson's Data Science & Analytics Department

Is Ericsson'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 4.0 out of 5 from over 196 employee reviews, it's clear that most employees have a positive experience working at Ericsson's Data Science & Analytics Department. Company culture holds the highest rating at 4.1, while career growth is rated the lowest amongst all factors at 3.0. Read reviews about company culture and career growth on AmbitionBox.
Does Ericsson's Data Science & Analytics Department pay their employees well?
According to AmbitionBox reviews, Ericsson's Data Science & Analytics Department employees rate their salary and benefits at 3.4 out of 5, based on 196 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 Ericsson's Data Science & Analytics Department salaries here and to read reviews specifically about salary and benefits at Ericsson's Data Science & Analytics Department, click here .
How is the work culture at Ericsson's Data Science & Analytics Department?
Work culture at Ericsson's Data Science & Analytics Department is rated 4.1 out of 5 by 196 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 Ericsson's Data Science & Analytics Department. To read reviews specifically about work culture at Ericsson's Data Science & Analytics Department, click here .
How is the job security at Ericsson's Data Science & Analytics Department?
Based on 196 reviews on AmbitionBox, Ericsson'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 Ericsson'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 Ericsson's Data Science & Analytics Department, click here .
Is work from home available at Ericsson's Data Science & Analytics Department?
According to AmbitionBox, 6% of Ericsson'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 at Ericsson's Data Science & Analytics Department, click here.
How do I get a job at Ericsson's Data Science & Analytics Department?
To get a job at Ericsson'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 Ericsson interview questions and practice your responses to prepare thoroughly.

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