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ABB Data Science & Analytics Department Reviews

Updated 10 Mar, 2025
Overall Rating
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4.0/5
based on 6 reviews

Rating distribution

Category Ratings

4.3

Job security

4.3

Work-life balance

4.1

Company culture

3.6

Skill development

3.5

Salary

3.5

Work satisfaction

3.2

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What employees say about ABB?

Insights from employee reviews on AmbitionBox

Workplace insights

Hybrid

Hybrid

100% employees reported

Monday to Friday

Monday to Friday

97% employees reported

Flexible timing

Flexible timing

62% employees reported

No travel

No travel

51% employees reported

Gender based rating

3.5
female

Rated by Women

13 reviews

4.2
male

Rated by Men

27 reviews

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Top Mentions in ABB Data Science & Analytics Department Reviews

6 reviews found for "salary"

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Top ABB Interview Questions

Q1. What are the industrial communication protocols
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Q3. What do you know about financial planning and analysis
Q4. If you given tight budget how you will ensure same quality ?
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People also ask about ABB's Data Science & Analytics Department

Is ABB'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 6 employee reviews, it's clear that most employees have a positive experience working at ABB's Data Science & Analytics Department. Job security holds the highest rating at 4.3, while career growth is rated the lowest amongst all factors at 3.2. Read reviews about job security and on AmbitionBox.
Does ABB's Data Science & Analytics Department pay their employees well?
According to AmbitionBox reviews, ABB's Data Science & Analytics Department employees rate their salary and benefits at 3.5 out of 5, based on 6 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 ABB's Data Science & Analytics Department salaries here and to read reviews specifically about salary and benefits at ABB's Data Science & Analytics Department, click here .
How is the work culture at ABB's Data Science & Analytics Department?
Work culture at ABB's Data Science & Analytics Department is rated 4.1 out of 5 by 6 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 ABB's Data Science & Analytics Department. To read reviews specifically about work culture at ABB's Data Science & Analytics Department, click here .
How is the job security at ABB's Data Science & Analytics Department?
Based on 6 reviews on AmbitionBox, ABB's Data Science & Analytics Department employees rate job security at 4.3 out of 5. This high rating reflects strong employee confidence in the stability and security of their roles at ABB'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 ABB's Data Science & Analytics Department, click here .
Is work from home available at ABB's Data Science & Analytics Department?
According to 12 AmbitionBox reviews, ABB'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 ABB's Data Science & Analytics Department?
To get a job at ABB'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 ABB interview questions and practice your responses to prepare thoroughly.

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