Ergode IT Services Data Science & Analytics Department Reviews

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 3.6 out of 5 from over 36 employee reviews, it's clear that most employees have an average experience working at Ergode IT Services's Data Science & Analytics Department. Work-Life balance holds the highest rating at 3.5, while career growth is rated the lowest amongst all factors at 2.9. Read reviews about work-life balance and career growth on AmbitionBox.

According to AmbitionBox reviews, Ergode IT Services's Data Science & Analytics Department employees rate their salary and benefits at 3.0 out of 5, based on 36 reviews. The rating reflects an average level of satisfaction among employees regarding compensation and benefits, indicating that while employees find the compensation and benefits acceptable, there is room for improvement in these areas. You can know more about Ergode IT Services's Data Science & Analytics Department salaries here and to read reviews specifically about salary and benefits at Ergode IT Services's Data Science & Analytics Department, click here.

Work culture at Ergode IT Services's Data Science & Analytics Department is rated 3.2 out of 5 by 36 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 Ergode IT Services's Data Science & Analytics Department, click here.

Based on 36 reviews on AmbitionBox, Ergode IT Services's Data Science & Analytics Department employees rate job security at 3.0 out of 5. This average rating suggests that while many employees feel reasonably secure in their roles, there may be some concerns or uncertainties. To read reviews about job security at Ergode IT Services's Data Science & Analytics Department, click here.