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2w
monstrouswatermelon
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Mirraw
When to switch
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?
What should I focus on next: skill development or switching skills? If I choose to skill up, how should I go about it? Should I join a course or pursue certifications? Additionally, I am curious about pursuing further studies—should I opt for an M.Tech or an MBA?
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People also ask about Invesco's Data Science & Analytics Department
Is Invesco'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 4 employee reviews, it's clear that most employees have an average experience working at Invesco's Data Science & Analytics Department. Work-Life balance holds the highest rating at 4.0, while career growth is rated the lowest amongst all factors at 3.1. Read reviews about work-life balance and career growth on AmbitionBox.
Does Invesco's Data Science & Analytics Department pay their employees well?
According to AmbitionBox reviews, Invesco's Data Science & Analytics Department employees rate their salary and benefits at 3.4 out of 5, based on 4 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 Invesco's Data Science & Analytics Department salaries here and to read reviews specifically about salary and benefits at Invesco's Data Science & Analytics Department, click here.
How is the work culture at Invesco's Data Science & Analytics Department?
Work culture at Invesco's Data Science & Analytics Department is rated 3.9 out of 5 by 4 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 Invesco's Data Science & Analytics Department, click here.
How is the job security at Invesco's Data Science & Analytics Department?
Based on 4 reviews on AmbitionBox, Invesco's Data Science & Analytics Department employees rate job security at 3.7 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 Invesco's Data Science & Analytics Department, click here.
How do I get a job at Invesco's Data Science & Analytics Department?
To get a job at Invesco'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 Invesco interview questions and practice your responses to prepare thoroughly.
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Gender Based Ratings at Invesco Data Science & Analytics Department
based on 17 reviews
Rated by 2
Women
Rated by 15
Men
Working Days at Invesco Data Science & Analytics Department
based on 18 reviews
Monday to Friday
100%
Work Timings at Invesco Data Science & Analytics Department
based on 18 reviews
Flexible timing
Strict (1pm - 10.30pm)
Strict (3.30pm - 12.30am)
69%
10%
10%
11% employees reported other strict timings
Shift Timings at Invesco Data Science & Analytics Department
based on 18 reviews
Day shift
Night shift
67%
33%
Business Travel at Invesco Data Science & Analytics Department
based on 18 reviews
No travel
100%
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Office cab/shuttle
1 total
response
Free meal
1 total
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Health insurance
3 total
responses
Office gym
2 total
responses
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