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Filter reviews by SG Analytics Data Science & Analytics Department Reviews
Overall Rating
based on 92
reviews
What employees say about SG Analytics?
Insights from employee reviews on AmbitionBox
Workplace insights
Hybrid
67% employees reported
Monday to Friday
96% employees reported
Flexible timing
79% employees reported
No travel
78% employees reported
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Gender based rating
Rated by Women
24 reviews
Rated by Men
68 reviews
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Q5. how you will contribute to the company growth?
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Career Growth
2w (edited)
a senior consultant
I got an offer from both the companies, manager role.
Flipkart’s offer: fixed (x) + variable pay + stock
Deloitte’s offer: fixed (x+1) + variable + 1.5L joining bonus
Variable pay % is the same. Flipkart is offering a sizeable huge chunk in stock.
What should I consider apart from compensation? Annual hikes, WLB, work culture, etc? (Note that It’s a non IT role)
Flipkart vs Deloitte
Flipkart
0%
Deloitte USI
0%
69 participants
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poll closed
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People also ask about SG Analytics's Data Science & Analytics Department
Is SG Analytics'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 3.3 out of 5 from over 92 employee reviews, it's clear that most employees have an average experience working at SG Analytics's Data Science & Analytics Department.
Work-life balance holds the highest rating at 3.4, while career growth is rated the lowest amongst all factors at 2.8.
Read reviews about
work-life balance
and
career growth
on AmbitionBox.
Does SG Analytics's Data Science & Analytics Department pay their employees well?
According to AmbitionBox reviews, SG Analytics's Data Science & Analytics Department employees rate their salary and benefits at 2.9 out of 5, based on 92 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 SG Analytics's Data Science & Analytics Department salaries
here
and to read reviews specifically about salary and benefits at SG Analytics's Data Science & Analytics Department,
click here
.
How is the work culture at SG Analytics's Data Science & Analytics Department?
Work culture at SG Analytics's Data Science & Analytics Department is rated 3.3 out of 5 by 92 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 SG Analytics's Data Science & Analytics Department,
click here
.
How is the job security at SG Analytics's Data Science & Analytics Department?
Based on 92 reviews on AmbitionBox, SG Analytics's Data Science & Analytics Department employees rate job security at 3.2 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 SG Analytics's Data Science & Analytics Department. To read reviews about job security at SG Analytics's Data Science & Analytics Department,
click here
.
Is work from home available at SG Analytics's Data Science & Analytics Department?
According to AmbitionBox, 8% of SG Analytics's Data Science & Analytics Department employees work from home permanently, 25% work from the office, and 67% follow a hybrid model, based on 12 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 SG Analytics's Data Science & Analytics Department?
To get a job at SG Analytics'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 SG Analytics interview questions and practice your responses to prepare thoroughly.
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