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SG Analytics Data Science & Analytics Department Reviews

Updated 18 Feb, 2025
Overall Rating
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3.3/5
based on 92 reviews

Rating distribution

Category Ratings

3.4

Work-life balance

3.3

Company culture

3.2

Job security

3.2

Skill development

3.2

Work satisfaction

2.9

Salary

2.8

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What employees say about SG Analytics?

Insights from employee reviews on AmbitionBox

Workplace insights

Hybrid

Hybrid

67% employees reported

Monday to Friday

Monday to Friday

96% employees reported

Flexible timing

Flexible timing

79% employees reported

No travel

No travel

78% employees reported

Gender based rating

3.3
female

Rated by Women

24 reviews

3.3
male

Rated by Men

68 reviews

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Top Mentions in SG Analytics Data Science & Analytics Department Reviews

92 reviews found

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Top SG Analytics Interview Questions

Q1. How is Environment pillar of ESG related with social and governance part?
Q2. Estimate how many tickets can a movie theatre sell in a day

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Q3. Tell me about the Pillars of esg
Q4. How to forecast revenue for an FMCG company?
Q5. how you will contribute to the company growth?
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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. Itā€™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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