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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 Nalco water's Data Science & Analytics Department
Is Nalco water'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 209 employee reviews, it's clear that most employees have an average experience working at Nalco water's Data Science & Analytics Department. Work-Life balance holds the highest rating at 4.4, while career growth is rated the lowest amongst all factors at 2.6. Read reviews about work-life balance and career growth on AmbitionBox.
Does Nalco water's Data Science & Analytics Department pay their employees well?
According to AmbitionBox reviews, Nalco water's Data Science & Analytics Department employees rate their salary and benefits at 2.8 out of 5, based on 209 reviews. This lower rating reflects a significant level of dissatisfaction among employees regarding compensation and benefits, suggesting that many may feel undercompensated. You can know more about Nalco water's Data Science & Analytics Department salaries here and to read reviews specifically about salary and benefits at Nalco water's Data Science & Analytics Department, click here.
How is the work culture at Nalco water's Data Science & Analytics Department?
Work culture at Nalco water's Data Science & Analytics Department is rated 4.1 out of 5 by 209 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 Nalco water's Data Science & Analytics Department. To read reviews specifically about work culture at Nalco water's Data Science & Analytics Department, click here.
How is the job security at Nalco water's Data Science & Analytics Department?
Based on 209 reviews on AmbitionBox, Nalco water's Data Science & Analytics Department employees rate job security at 4.2 out of 5. This high rating reflects strong employee confidence in the stability and security of their roles at Nalco water'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 Nalco water's Data Science & Analytics Department, click here.
How do I get a job at Nalco water's Data Science & Analytics Department?
To get a job at Nalco water'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 Nalco water interview questions and practice your responses to prepare thoroughly.
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Working Days at Nalco water Data Science & Analytics Department
based on 11 reviews
Monday to Friday
78%
Rotational Shift
22%
Work Timings at Nalco water Data Science & Analytics Department
based on 11 reviews
Flexible timing
Strict (7.30am - 7.30pm)
80%
20%
Shift Timings at Nalco water Data Science & Analytics Department
based on 11 reviews
Day shift
100%
Business Travel at Nalco water Data Science & Analytics Department
based on 11 reviews
No travel
87%
International travel
13%
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