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Career Growth
2w (edited)
effortlesswinner
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ex -
Smarten Spaces
Need help in deciding from the following offers
I have the following offers:
1. Exl - 24 lpa fixed + 12% variable + 2 lakhs joining bonus
Position - manager
2. Infinite computer solutions - 30 lpa fixed
3. Deloitte - Still negotiating trying for 30-35 lpa
I am prioritizing long term employment as well as personal/ professional growth as I have major family responsibilities coming ahead in next year.
Please let me know your insights.
Update - Thank you for all the inputs everyone who all contributed to the discussion. I have actually made my decision, I will be joining ICS at technical lead - 37 LPA. They offered a sweet deal that is too good to resist.
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People also ask about Rackspace's Data Science & Analytics Department
Is Rackspace'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 3.8 out of 5 from over 563 employee reviews, it's clear that most employees have an average experience working at Rackspace's Data Science & Analytics Department. Work-Life balance holds the highest rating at 4.2, while job security is rated the lowest amongst all factors at 2.9. Read reviews about work-life balance and job security on AmbitionBox.
Does Rackspace's Data Science & Analytics Department pay their employees well?
According to AmbitionBox reviews, Rackspace's Data Science & Analytics Department employees rate their salary and benefits at 4.0 out of 5, based on 563 reviews. The rating reflects a high level of satisfaction among employees regarding compensation and benefits, indicating that Rackspace's Data Science & Analytics Department is generally seen as a place that values and rewards its workforce fairly. You can know more about Rackspace's Data Science & Analytics Department salaries here and to read reviews specifically about salary and benefits at Rackspace's Data Science & Analytics Department, click here.
How is the work culture at Rackspace's Data Science & Analytics Department?
Work culture at Rackspace's Data Science & Analytics Department is rated 4.0 out of 5 by 563 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 Rackspace's Data Science & Analytics Department. To read reviews specifically about work culture at Rackspace's Data Science & Analytics Department, click here.
How is the job security at Rackspace's Data Science & Analytics Department?
Based on 563 reviews on AmbitionBox, Rackspace's Data Science & Analytics Department employees rate job security at 2.9 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 Rackspace's Data Science & Analytics Department. To read reviews about job security at Rackspace's Data Science & Analytics Department, click here.
How do I get a job at Rackspace's Data Science & Analytics Department?
To get a job at Rackspace'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 Rackspace interview questions and practice your responses to prepare thoroughly.
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Gender Based Ratings at Rackspace Data Science & Analytics Department
based on 21 reviews
Rated by 6
Women
Rated by 15
Men
Working Days at Rackspace Data Science & Analytics Department
based on 21 reviews
Monday to Friday
88%
Rotational Shift
12%
Work Timings at Rackspace Data Science & Analytics Department
based on 21 reviews
Flexible timing
Strict (9am - 6pm)
Strict (11am - 11.30pm)
72%
14%
14%
Shift Timings at Rackspace Data Science & Analytics Department
based on 21 reviews
Day shift
100%
Business Travel at Rackspace Data Science & Analytics Department
based on 21 reviews
No travel
100%
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Health insurance
1 total
response
Professional degree assistance
1 total
response
Job/Soft skill training
1 total
response
Retirement benefits
0 total
responses
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