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Career Growth
2w (edited)
effortlesswinner
·
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 Whirlpool's Data Science & Analytics Department
Is Whirlpool'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 3.9 out of 5 from over 1.7k employee reviews, it's clear that most employees have an average experience working at Whirlpool's Data Science & Analytics Department. Work-Life balance holds the highest rating at 4.5, while skill development is rated the lowest amongst all factors at 3.4. Read reviews about work-life balance and skill development on AmbitionBox.
Does Whirlpool's Data Science & Analytics Department pay their employees well?
According to AmbitionBox reviews, Whirlpool's Data Science & Analytics Department employees rate their salary and benefits at 3.6 out of 5, based on 1.7k 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 Whirlpool's Data Science & Analytics Department salaries here and to read reviews specifically about salary and benefits at Whirlpool's Data Science & Analytics Department, click here.
How is the work culture at Whirlpool's Data Science & Analytics Department?
Work culture at Whirlpool's Data Science & Analytics Department is rated 4.3 out of 5 by 1.7k 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 Whirlpool's Data Science & Analytics Department. To read reviews specifically about work culture at Whirlpool's Data Science & Analytics Department, click here.
How is the job security at Whirlpool's Data Science & Analytics Department?
Based on 1.7k reviews on AmbitionBox, Whirlpool's Data Science & Analytics Department employees rate job security at 4.1 out of 5. This high rating reflects strong employee confidence in the stability and security of their roles at Whirlpool'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 Whirlpool's Data Science & Analytics Department, click here.
How do I get a job at Whirlpool's Data Science & Analytics Department?
To get a job at Whirlpool'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 Whirlpool interview questions and practice your responses to prepare thoroughly.
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Gender Based Ratings at Whirlpool Data Science & Analytics Department
based on 21 reviews
Rated by 5
Women
Rated by 16
Men
Working Days at Whirlpool Data Science & Analytics Department
based on 22 reviews
Monday to Friday
66%
Monday to Saturday
22%
Alternate Saturday off
6%
Other
6%
Work Timings at Whirlpool Data Science & Analytics Department
based on 22 reviews
Flexible timing
Strict (12.30pm - 9.30pm)
Strict (10am - 7pm)
80%
7%
7%
6% employees reported other strict timings
Shift Timings at Whirlpool Data Science & Analytics Department
based on 22 reviews
Day shift
100%
Business Travel at Whirlpool Data Science & Analytics Department
based on 22 reviews
No travel
68%
Within city
19%
Within country
13%
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