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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 Adobe's Data Science & Analytics Department
Is Adobe'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 4.1 out of 5 from over 995 employee reviews, it's clear that most employees have a positive experience working at Adobe's Data Science & Analytics Department. Company culture holds the highest rating at 4.4, while career growth is rated the lowest amongst all factors at 3.6. Read reviews about company culture and career growth on AmbitionBox.
Does Adobe's Data Science & Analytics Department pay their employees well?
According to AmbitionBox reviews, Adobe's Data Science & Analytics Department employees rate their salary and benefits at 4.1 out of 5, based on 995 reviews. The rating reflects a high level of satisfaction among employees regarding compensation and benefits, indicating that Adobe's Data Science & Analytics Department is generally seen as a place that values and rewards its workforce fairly. You can know more about Adobe's Data Science & Analytics Department salaries here and to read reviews specifically about salary and benefits at Adobe's Data Science & Analytics Department, click here.
How is the work culture at Adobe's Data Science & Analytics Department?
Work culture at Adobe's Data Science & Analytics Department is rated 4.4 out of 5 by 995 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 Adobe's Data Science & Analytics Department. To read reviews specifically about work culture at Adobe's Data Science & Analytics Department, click here.
How is the job security at Adobe's Data Science & Analytics Department?
Based on 995 reviews on AmbitionBox, Adobe's Data Science & Analytics Department employees rate job security at 3.9 out of 5. This average rating suggests that while many employees feel reasonably secure in their roles, there may be some concerns or uncertainties. To read reviews about job security at Adobe's Data Science & Analytics Department, click here.
How do I get a job at Adobe's Data Science & Analytics Department?
To get a job at Adobe'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 Adobe interview questions and practice your responses to prepare thoroughly.
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Gender Based Ratings at Adobe Data Science & Analytics Department
based on 52 reviews
Rated by 15
Women
Rated by 37
Men
Working Days at Adobe Data Science & Analytics Department
based on 52 reviews
Monday to Friday
94%
Rotational Shift
3%
Alternate Saturday off
3%
Work Timings at Adobe Data Science & Analytics Department
based on 52 reviews
Flexible timing
Strict (5.30pm - 2.30am)
Strict (7.30pm - 4.30am)
85%
2%
2%
11% employees reported other strict timings
Shift Timings at Adobe Data Science & Analytics Department
based on 52 reviews
Night shift
Day shift
50%
50%
Business Travel at Adobe Data Science & Analytics Department
based on 52 reviews
No travel
58%
Within city
20%
Within country
12%
International travel
10%
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