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I recently graduated in 2024 with a Bachelor of Engineering degree in Computer Science and Engineering. I have secured a job as a Business Analyst at an eCommerce brand with a salary package of 4.5 LPA. Considering I graduated from a tier 3 college and got the job off-campus, is this a good package?
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People also ask about Morgan Stanley's Data Science & Analytics Department
Is Morgan Stanley'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 4.2 out of 5 from over 49 employee reviews, it's clear that most employees have a positive experience working at Morgan Stanley's Data Science & Analytics Department. Company culture holds the highest rating at 4.2, while career growth is rated the lowest amongst all factors at 3.3. Read reviews about company culture and career growth on AmbitionBox.
Does Morgan Stanley's Data Science & Analytics Department pay their employees well?
According to AmbitionBox reviews, Morgan Stanley's Data Science & Analytics Department employees rate their salary and benefits at 3.7 out of 5, based on 49 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 Morgan Stanley's Data Science & Analytics Department salaries here and to read reviews specifically about salary and benefits at Morgan Stanley's Data Science & Analytics Department, click here.
How is the work culture at Morgan Stanley's Data Science & Analytics Department?
Work culture at Morgan Stanley's Data Science & Analytics Department is rated 4.2 out of 5 by 49 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 Morgan Stanley's Data Science & Analytics Department. To read reviews specifically about work culture at Morgan Stanley's Data Science & Analytics Department, click here.
How is the job security at Morgan Stanley's Data Science & Analytics Department?
Based on 49 reviews on AmbitionBox, Morgan Stanley's Data Science & Analytics Department employees rate job security at 3.5 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 Morgan Stanley's Data Science & Analytics Department, click here.
How do I get a job at Morgan Stanley's Data Science & Analytics Department?
To get a job at Morgan Stanley'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 Morgan Stanley interview questions and practice your responses to prepare thoroughly.
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Gender Based Ratings at Morgan Stanley Data Science & Analytics Department
based on 49 reviews
Rated by 15
Women
Rated by 34
Men
Working Days at Morgan Stanley Data Science & Analytics Department
based on 49 reviews
Monday to Friday
97%
Other
3%
Work Timings at Morgan Stanley Data Science & Analytics Department
based on 49 reviews
Flexible timing
Strict (12.30pm - 9.30pm)
Strict (12pm - 10pm)
69%
8%
4%
19% employees reported other strict timings
Shift Timings at Morgan Stanley Data Science & Analytics Department
based on 49 reviews
Day shift
100%
Business Travel at Morgan Stanley Data Science & Analytics Department
based on 49 reviews
No travel
86%
Within city
14%
|
Senior Manager
96
salaries
|  ₹13 L/yr - ₹46.9 L/yr |
|
Manager
78
salaries
| ₹8 L/yr - ₹39 L/yr |
|
Associate
75
salaries
| ₹4.3 L/yr - ₹21.3 L/yr |
|
Vice President
59
salaries
| ₹30 L/yr - ₹65 L/yr |
|
Director
57
salaries
| ₹12 L/yr - ₹46.8 L/yr |
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Office cab/shuttle
1 total
response
Health insurance
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Cafeteria
1 total
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Retirement benefits
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responses
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