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Proud winner of ABECA 2024 - AmbitionBox Employee Choice Awards
Filter reviews by Amazon Data Science & Analytics Department Reviews
Overall Rating
based on 861
reviews
What employees say about Amazon?
Insights from employee reviews on AmbitionBox
Workplace insights
Work from office
52% employees reported
Monday to Friday
71% employees reported
Flexible timing
64% employees reported
No travel
81% employees reported
View more detailed insights
Gender based rating
Rated by Women
268 reviews
Rated by Men
569 reviews
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stubbornpanda
currently not working
Gave Amazon OA, still waiting for their response
Hey there, I gave amazon OA and work assessment around 30th Jan, 2024, after that I got an email saying successfully completed OA, but then I am still waiting and there is no response.
(Almost 2 weeks)
Any idea, how much time does it takes?
Role - Amazon SDE new grad
Location - UK
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People also ask about Amazon's Data Science & Analytics Department
Is Amazon'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 4.0 out of 5 from over 861 employee reviews, it's clear that most employees have a positive experience working at Amazon's Data Science & Analytics Department.
Company culture holds the highest rating at 4.0, while career growth is rated the lowest amongst all factors at 3.1.
Read reviews about
company culture
and
career growth
on AmbitionBox.
Does Amazon's Data Science & Analytics Department pay their employees well?
According to AmbitionBox reviews, Amazon's Data Science & Analytics Department employees rate their salary and benefits at 3.8 out of 5, based on 861 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 Amazon's Data Science & Analytics Department salaries
here
and to read reviews specifically about salary and benefits at Amazon's Data Science & Analytics Department,
click here
.
How is the work culture at Amazon's Data Science & Analytics Department?
Work culture at Amazon's Data Science & Analytics Department is rated 4.0 out of 5 by 861 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 Amazon's Data Science & Analytics Department. To read reviews specifically about work culture at Amazon's Data Science & Analytics Department,
click here
.
How is the job security at Amazon's Data Science & Analytics Department?
Based on 861 reviews on AmbitionBox, Amazon's Data Science & Analytics Department employees rate job security at 3.6 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 Amazon's Data Science & Analytics Department. To read reviews about job security at Amazon's Data Science & Analytics Department,
click here
.
Is work from home available at Amazon's Data Science & Analytics Department?
According to AmbitionBox, 27% of Amazon's Data Science & Analytics Department employees work from home permanently, 52% work from the office, and 21% follow a hybrid model, based on 131 reviews in the last 6 months. This indicates an inclination for in-office work arrangements with fewer remote options. To read reviews specifically about work-life balance,
click here.
How do I get a job at Amazon's Data Science & Analytics Department?
To get a job at Amazon'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 Amazon interview questions and practice your responses to prepare thoroughly.
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Office cab/shuttle
25 total
responses
Free meal
13 total
responses
International/On-site exposure
10 total
responses
Mental health wellbeing
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