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Filter reviews by SG Analytics Data Science & Analytics Department Reviews
Overall Rating
based on 97
reviews
What employees say about SG Analytics?
Insights from employee reviews on AmbitionBox
Workplace insights
Hybrid
63% employees reported
Monday to Friday
96% employees reported
Flexible timing
79% employees reported
No travel
78% employees reported
View more detailed insights
Gender based rating
Rated by Women
27 reviews
Rated by Men
70 reviews
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Consultant interview
Q1. How is Environment pillar of ESG related with social and governance part?
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Associate Analyst interview
Q2. Estimate how many tickets can a movie theatre sell in a day
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Analyst interview
Q5. how does EBITDA flows from income statement to cash flow statement
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Career Growth
2w (edited)
a technical lead
Help to Understand
I have below 2 offers. which one to join. Need some guidance.
1. Luxoft - 32 fixed lpa. WFH. 1 lac joining bonus.
2. TCS - 31 fixed . over all ctc - 36. no WFH. 2 lac joining bonus
(temporarily hybrid 3 days in client location which is near to my place till the time assigned to same project)
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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 3.1 out of 5 from over 97 employee reviews, it's clear that most employees have an average experience working at SG Analytics's Data Science & Analytics Department.
Company culture holds the highest rating at 3.1, while career growth is rated the lowest amongst all factors at 2.6.
Read reviews about
company culture
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 2.7 out of 5, based on 97 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 3.1 out of 5 by 97 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 97 reviews on AmbitionBox, SG Analytics's Data Science & Analytics Department employees rate job security at 3.0 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, 12% of SG Analytics's Data Science & Analytics Department employees work from home permanently, 25% work from the office, and 63% 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 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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|
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Stock options
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Office gym
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