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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 Ecom Express's Data Science & Analytics Department
Is Ecom Express'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 3.5k employee reviews, it's clear that most employees have an average experience working at Ecom Express's Data Science & Analytics Department. Work-Life balance holds the highest rating at 4.4, while salary & benefits is rated the lowest amongst all factors at 3.2. Read reviews about work-life balance and salary & benefits on AmbitionBox.
Does Ecom Express's Data Science & Analytics Department pay their employees well?
According to AmbitionBox reviews, Ecom Express's Data Science & Analytics Department employees rate their salary and benefits at 3.2 out of 5, based on 3.5k 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 Ecom Express's Data Science & Analytics Department salaries here and to read reviews specifically about salary and benefits at Ecom Express's Data Science & Analytics Department, click here.
How is the work culture at Ecom Express's Data Science & Analytics Department?
Work culture at Ecom Express's Data Science & Analytics Department is rated 3.8 out of 5 by 3.5k 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 Ecom Express's Data Science & Analytics Department, click here.
How is the job security at Ecom Express's Data Science & Analytics Department?
Based on 3.5k reviews on AmbitionBox, Ecom Express's Data Science & Analytics Department employees rate job security at 3.8 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 Ecom Express's Data Science & Analytics Department, click here.
How do I get a job at Ecom Express's Data Science & Analytics Department?
To get a job at Ecom Express'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 Ecom Express interview questions and practice your responses to prepare thoroughly.
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Gender Based Ratings at Ecom Express Data Science & Analytics Department
based on 30 reviews
Rated by 10
Women
Rated by 20
Men
Working Days at Ecom Express Data Science & Analytics Department
based on 30 reviews
Monday to Friday
60%
Monday to Saturday
20%
Alternate Saturday off
20%
Work Timings at Ecom Express Data Science & Analytics Department
based on 30 reviews
Flexible timing
Strict (9am - 6pm)
Strict (10am - 6.30pm)
68%
9%
5%
18% employees reported other strict timings
Shift Timings at Ecom Express Data Science & Analytics Department
based on 30 reviews
Day shift
100%
Business Travel at Ecom Express Data Science & Analytics Department
based on 30 reviews
No travel
70%
Within city
15%
Within country
11%
International travel
4%
|
Business Analyst
18
salaries
|  ₹3 L/yr - ₹11 L/yr |
|
Data Analyst
13
salaries
| ₹4 L/yr - ₹8 L/yr |
|
Data Scientist
12
salaries
| ₹8.5 L/yr - ₹15.1 L/yr |
|
Associate Data Scientist
12
salaries
| ₹7 L/yr - ₹11.7 L/yr |
|
Data Engineer
10
salaries
| ₹9 L/yr - ₹13 L/yr |
Explore more salaries
Paternity leaves
2 total
responses
Retirement benefits
2 total
responses
Office cab/shuttle
2 total
responses
Stock options
2 total
responses
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