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Filter reviews by Oracle Data Science & Analytics Department Reviews
Overall Rating
based on 42
reviews
What employees say about Oracle?
Insights from employee reviews on AmbitionBox
Workplace insights
Hybrid
57% employees reported
Monday to Friday
95% employees reported
Flexible timing
72% employees reported
No travel
83% employees reported
View more detailed insights
Gender based rating
Rated by Women
45 reviews
Rated by Men
113 reviews
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survivor800
works at
Ernst & Young
Hi Folks
Can anyone share which one is best to join i am confused
YOE-7+ years Tech - Java +React js
My base location is Gurgaon
1) SAP labs -28.3 LPA fix --BLR
2) ORACLE- 35.1 LPA FIX --BLR
3)NICE System-33 LPA fix -- PUNE
4)OPTUM- 28.5 LPA fix-- GURGAON
5)Maersk-32.5 LPA fix-- BLR
6)BNY- 31.5 LPA fix--PUNE
I am confused guyz any help with insights will be helpful to decide
Which one to choose
SAP
0%
ORACLE
0%
NICE
0%
OPTUM
0%
BNY
0%
8 participants
.
expiring in 2w
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People also ask about Oracle's Data Science & Analytics Department
Is Oracle'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 42 employee reviews, it's clear that most employees have an average experience working at Oracle's Data Science & Analytics Department.
Work-life balance holds the highest rating at 4.2, while career growth is rated the lowest amongst all factors at 2.6.
Read reviews about
work-life balance
and
career growth
on AmbitionBox.
Does Oracle's Data Science & Analytics Department pay their employees well?
According to AmbitionBox reviews, Oracle's Data Science & Analytics Department employees rate their salary and benefits at 3.1 out of 5, based on 42 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 Oracle's Data Science & Analytics Department salaries
here
and to read reviews specifically about salary and benefits at Oracle's Data Science & Analytics Department,
click here
.
How is the work culture at Oracle's Data Science & Analytics Department?
Work culture at Oracle's Data Science & Analytics Department is rated 3.8 out of 5 by 42 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 Oracle's Data Science & Analytics Department,
click here
.
How is the job security at Oracle's Data Science & Analytics Department?
Based on 42 reviews on AmbitionBox, Oracle's Data Science & Analytics Department employees rate job security at 3.9 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 Oracle's Data Science & Analytics Department. To read reviews about job security at Oracle's Data Science & Analytics Department,
click here
.
Is work from home available at Oracle's Data Science & Analytics Department?
According to AmbitionBox, 31% of Oracle's Data Science & Analytics Department employees work from home permanently, 12% work from the office, and 57% follow a hybrid model, based on 16 reviews in the last 6 months. This reflects a flexible approach to work arrangements. To read reviews specifically about work-life balance,
click here.
How do I get a job at Oracle's Data Science & Analytics Department?
To get a job at Oracle'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 Oracle interview questions and practice your responses to prepare thoroughly.
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