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Filter reviews by IBM Data Science & Analytics Department Hyderabad / Secunderabad Reviews
Overall Rating
based on 81
reviews
What employees say about IBM?
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Workplace insights
Hybrid
100% employees reported
Monday to Friday
85% employees reported
Flexible timing
71% employees reported
No travel
68% employees reported
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Gender based rating
Rated by Women
27 reviews
Rated by Men
52 reviews
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fuzzyde
works at
Ernst & Young
IBM-7A-21. 5(FIXED)+1.3(JB)
Is it good to join IBM at 7A band for Sr. Data Engineer position at 21.5 fixed + 1.3 JB.
YOE : 5.5
Are there chances of layoff or firing for me ? Is it good offer to join for 5.5 yoe ?
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People also ask about IBM's Data Science & Analytics Department in Hyderabad / Secunderabad
Is IBM's Data Science & Analytics Department in Hyderabad / Secunderabad 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 81 employee reviews, it's clear that most employees have a positive experience working at IBM's Data Science & Analytics Department in Hyderabad / Secunderabad.
Work-life balance holds the highest rating at 4.1, 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 IBM's Data Science & Analytics Department in Hyderabad / Secunderabad pay their employees well?
According to AmbitionBox reviews, IBM's Data Science & Analytics Department in Hyderabad / Secunderabad employees rate their salary and benefits at 3.5 out of 5, based on 81 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 IBM's Data Science & Analytics Department in Hyderabad / Secunderabad salaries
here
and to read reviews specifically about salary and benefits at IBM's Data Science & Analytics Department in Hyderabad / Secunderabad,
click here
.
How is the work culture at IBM's Data Science & Analytics Department in Hyderabad / Secunderabad?
Work culture at IBM's Data Science & Analytics Department in Hyderabad / Secunderabad is rated 3.8 out of 5 by 81 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 IBM's Data Science & Analytics Department in Hyderabad / Secunderabad,
click here
.
How is the job security at IBM's Data Science & Analytics Department in Hyderabad / Secunderabad?
Based on 81 reviews on AmbitionBox, IBM's Data Science & Analytics Department in Hyderabad / Secunderabad employees rate job security at 3.9 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 IBM's Data Science & Analytics Department in Hyderabad / Secunderabad. To read reviews about job security at IBM's Data Science & Analytics Department in Hyderabad / Secunderabad,
click here
.
Is work from home available at IBM's Data Science & Analytics Department in Hyderabad / Secunderabad?
According to 12 AmbitionBox reviews, IBM's Data Science & Analytics Department in Hyderabad / Secunderabad 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 IBM's Data Science & Analytics Department in Hyderabad / Secunderabad?
To get a job at IBM's Data Science & Analytics Department in Hyderabad / Secunderabad, 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 IBM interview questions and practice your responses to prepare thoroughly.
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