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MAQ Software Data Science & Analytics Department Reviews

Updated 10 Mar, 2025
Overall Rating
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1.7/5
based on 56 reviews

Rating distribution

Category Ratings

2.6

Salary

2.2

Promotions

2.1

Skill development

1.9

Job security

1.6

Work satisfaction

1.5

Company culture

1.4

Work-life balance

What employees say about MAQ Software?

Insights from employee reviews on AmbitionBox

Workplace insights

Work from office

Work from office

100% employees reported

Monday to Friday

Monday to Friday

78% employees reported

Strict (9am - 6pm)

Strict (9am - 6pm)

30% employees reported

No travel

No travel

56% employees reported

Gender based rating

1.4
female

Rated by Women

8 reviews

1.7
male

Rated by Men

47 reviews

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Top Mentions in MAQ Software Data Science & Analytics Department Reviews

56 reviews found

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Top MAQ Software Interview Questions

Q1. Write a code to find the given linked list is Circular or not ? Then find t ... read more
Q2. Write a code to reverse the sequence of words in a sentence . For eg: Input ... read more

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Q3. A circle is inscribed in a square( coordinates top left corner (0,0) ). Coo ... read more
Q4. Write a code to add two numbers without using ‘+’ operator
Q5. program to find nth prime number and then optimise the code
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People also ask about MAQ Software's Data Science & Analytics Department

Is MAQ Software'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 1.7 out of 5 from over 56 employee reviews, it's clear that most employees have a below average experience working at MAQ Software's Data Science & Analytics Department. Salary holds the highest rating at 2.6, while work-life balance is rated the lowest amongst all factors at 1.4. Read reviews about work-life balance on AmbitionBox.
Does MAQ Software's Data Science & Analytics Department pay their employees well?
According to AmbitionBox reviews, MAQ Software's Data Science & Analytics Department employees rate their salary and benefits at 2.6 out of 5, based on 56 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 MAQ Software's Data Science & Analytics Department salaries here .
How is the work culture at MAQ Software's Data Science & Analytics Department?
Work culture at MAQ Software's Data Science & Analytics Department is rated 1.5 out of 5 by 56 employees on AmbitionBox, indicating a below-average environment. Work culture encompasses aspects like collaboration, support, and overall employee satisfaction. This lower rating suggests that employees may experience challenges in aspects like collaboration, support, and overall satisfaction.
How is the job security at MAQ Software's Data Science & Analytics Department?
Based on 56 reviews on AmbitionBox, MAQ Software's Data Science & Analytics Department employees rate job security at 1.9 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 MAQ Software's Data Science & Analytics Department.
Is work from home available at MAQ Software's Data Science & Analytics Department?
According to 15 AmbitionBox reviews, MAQ Software's Data Science & Analytics Department does not currently offer any work-from-home options. All employees work from the office, reflecting a fully on-site work arrangement. To read reviews specifically about work-life balance, click here.
How do I get a job at MAQ Software's Data Science & Analytics Department?
To get a job at MAQ Software'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 MAQ Software interview questions and practice your responses to prepare thoroughly.

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