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monstrouswatermelon
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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?
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 Johnson & Johnson's Data Science & Analytics Department
Is Johnson & Johnson'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 5 employee reviews, it's clear that most employees have a positive experience working at Johnson & Johnson's Data Science & Analytics Department. Work-Life balance holds the highest rating at 4.3, while job security is rated the lowest amongst all factors at 3.3. Read reviews about work-life balance and job security on AmbitionBox.
Does Johnson & Johnson's Data Science & Analytics Department pay their employees well?
According to AmbitionBox reviews, Johnson & Johnson's Data Science & Analytics Department employees rate their salary and benefits at 3.9 out of 5, based on 5 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 Johnson & Johnson's Data Science & Analytics Department salaries here and to read reviews specifically about salary and benefits at Johnson & Johnson's Data Science & Analytics Department, click here.
How is the work culture at Johnson & Johnson's Data Science & Analytics Department?
Work culture at Johnson & Johnson's Data Science & Analytics Department is rated 4.0 out of 5 by 5 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 Johnson & Johnson's Data Science & Analytics Department. To read reviews specifically about work culture at Johnson & Johnson's Data Science & Analytics Department, click here.
How is the job security at Johnson & Johnson's Data Science & Analytics Department?
Based on 5 reviews on AmbitionBox, Johnson & Johnson's Data Science & Analytics Department employees rate job security at 3.3 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 Johnson & Johnson's Data Science & Analytics Department, click here.
How do I get a job at Johnson & Johnson's Data Science & Analytics Department?
To get a job at Johnson & Johnson'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 Johnson & Johnson interview questions and practice your responses to prepare thoroughly.
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Gender Based Ratings at Johnson & Johnson Data Science & Analytics Department
based on 26 reviews
Rated by 7
Women
Rated by 19
Men
Working Days at Johnson & Johnson Data Science & Analytics Department
based on 29 reviews
Monday to Friday
90%
Monday to Saturday
5%
Alternate Saturday off
5%
Work Timings at Johnson & Johnson Data Science & Analytics Department
based on 29 reviews
Flexible timing
Strict (12pm - 6pm)
Strict (9.30am - 7pm)
77%
6%
6%
11% employees reported other strict timings
Shift Timings at Johnson & Johnson Data Science & Analytics Department
based on 29 reviews
Day shift
100%
Business Travel at Johnson & Johnson Data Science & Analytics Department
based on 29 reviews
No travel
56%
Within city
25%
Within country
19%
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