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CompareProud winner of ABECA 2024 - AmbitionBox Employee Choice Awards
Filter reviews by Amazon Data Science & Analytics Department Pune Reviews
Overall Rating
based on 28
reviews
What employees say about Amazon?
Insights from employee reviews on AmbitionBox
Workplace insights
Monday to Friday
54% employees reported
Flexible timing
39% employees reported
No travel
82% employees reported
View more detailed insights
Gender based rating
Rated by Women
16 reviews
Rated by Men
12 reviews
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a hr manager
2w
Looking for job as a Human Resource in Lucknow
Hello Connections,
I am actively looking for a new opportunity in the HR field. With 5 years of experience in Core HR skills such as recruitment, employee relations, talent management, payroll management, EPFO, ESIC, performance management, and compliances, I am dedicated to nurturing a positive work culture and driving organizational growth. If you are aware of any HR openings or have valuable advice, your support would be greatly appreciated.
Location: Lucknow
Feel free to connect or reach out if you have any insights.
Companies of interest: Genpact, HCLTech, Blinkit,Amazon, Flipkart, Swiggy, Zomato, Jio, Vodafone Idea Limited airtel
#OpenToWork
#HRJobs
#Human Resources
#LucknowJobs
#HROpportunities
#Hiring
#JobOpportunity #Work #Human Resources Jobs
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People also ask about Amazon's Data Science & Analytics Department in Pune
Is Amazon's Data Science & Analytics Department in Pune 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 3.7 out of 5 from over 28 employee reviews, it's clear that most employees have an average experience working at Amazon's Data Science & Analytics Department in Pune.
Salary holds the highest rating at 4.1, while career growth is rated the lowest amongst all factors at 3.0.
Read reviews about
salary
and
career growth
on AmbitionBox.
Does Amazon's Data Science & Analytics Department in Pune pay their employees well?
According to AmbitionBox reviews, Amazon's Data Science & Analytics Department in Pune employees rate their salary and benefits at 4.1 out of 5, based on 28 reviews. The rating reflects a high level of satisfaction among employees regarding compensation and benefits, indicating that Amazon's Data Science & Analytics Department in Pune is generally seen as a place that values and rewards its workforce fairly. You can know more about Amazon's Data Science & Analytics Department in Pune salaries
here
and to read reviews specifically about salary and benefits at Amazon's Data Science & Analytics Department in Pune,
click here
.
How is the work culture at Amazon's Data Science & Analytics Department in Pune?
Work culture at Amazon's Data Science & Analytics Department in Pune is rated 3.6 out of 5 by 28 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 Amazon's Data Science & Analytics Department in Pune,
click here
.
How is the job security at Amazon's Data Science & Analytics Department in Pune?
Based on 28 reviews on AmbitionBox, Amazon's Data Science & Analytics Department in Pune employees rate job security at 3.4 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 in Pune. To read reviews about job security at Amazon's Data Science & Analytics Department in Pune,
click here
.
How do I get a job at Amazon's Data Science & Analytics Department in Pune?
To get a job at Amazon's Data Science & Analytics Department in Pune, 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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