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Filter reviews by SBI Cards & Payment Services Data Science & Analytics Department Reviews
Overall Rating
based on 38
reviews
What employees say about SBI Cards & Payment Services?
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Monday to Friday
80% employees reported
Flexible timing
57% employees reported
No travel
87% employees reported
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Rated by Women
9 reviews
Rated by Men
29 reviews
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in SBI Cards & Payment Services Data Science & Analytics Department Reviews
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Q1. What minimum cibil score required for credit card
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asked in
Area Sales Manager interview
Q3. Why do you think SBI cards is a good place to work for ?
asked in
Team Lead interview
Q4. What is Audit & which are the things could not acceptable in banks
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Career Growth
2w (edited)
littleiv
·
works at
Capgemini
Tech lead - Tech Mahindra or IBM
I have 2 offers in same location : Need guidance to choose one
1) Tech Mahindra (U4)
Fixed 23.9 Variable 2.6=26.5
No joining bonus
Project details informed already
2)IBM(7B)
Fixed 21.37 + Variable 0-10%
Joining bonus is 1 lakh
Your Responses and thoughts will be appreciated.
Thank you
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People also ask about SBI Cards & Payment Services's Data Science & Analytics Department
Is SBI Cards & Payment Services'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 3.5 out of 5 from over 38 employee reviews, it's clear that most employees have an average experience working at SBI Cards & Payment Services's Data Science & Analytics Department.
Job security holds the highest rating at 3.7, while career growth is rated the lowest amongst all factors at 2.7.
Read reviews about
job security
and
on AmbitionBox.
Does SBI Cards & Payment Services's Data Science & Analytics Department pay their employees well?
According to AmbitionBox reviews, SBI Cards & Payment Services's Data Science & Analytics Department employees rate their salary and benefits at 2.9 out of 5, based on 38 reviews. This lower rating reflects a significant level of dissatisfaction among employees regarding compensation and benefits, suggesting that many may feel undercompensated. You can know more about SBI Cards & Payment Services's Data Science & Analytics Department salaries
here
and to read reviews specifically about salary and benefits at SBI Cards & Payment Services's Data Science & Analytics Department,
click here
.
How is the work culture at SBI Cards & Payment Services's Data Science & Analytics Department?
Work culture at SBI Cards & Payment Services's Data Science & Analytics Department is rated 3.4 out of 5 by 38 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 SBI Cards & Payment Services's Data Science & Analytics Department,
click here
.
How is the job security at SBI Cards & Payment Services's Data Science & Analytics Department?
Based on 38 reviews on AmbitionBox, SBI Cards & Payment Services's Data Science & Analytics Department employees rate job security at 3.7 out of 5. This lower rating indicates that a significant number of employees may have concerns about their job stability and the reliability of their roles at SBI Cards & Payment Services's Data Science & Analytics Department. To read reviews about job security at SBI Cards & Payment Services's Data Science & Analytics Department,
click here
.
How do I get a job at SBI Cards & Payment Services's Data Science & Analytics Department?
To get a job at SBI Cards & Payment Services's Data Science & Analytics Department, start by browsing the current open positions
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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 SBI Cards & Payment Services interview questions and practice your responses to prepare thoroughly.
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