Merkle 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 3.5 out of 5 from over 14 employee reviews, it's clear that most employees have an average experience working at Merkle's Data Science & Analytics Department. Job security holds the highest rating at 3.7, while career growth is rated the lowest amongst all factors at 2.5. Read reviews about career growth on AmbitionBox.

According to AmbitionBox reviews, Merkle's Data Science & Analytics Department employees rate their salary and benefits at 2.7 out of 5, based on 14 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 Merkle's Data Science & Analytics Department salaries here and to read reviews specifically about salary and benefits at Merkle's Data Science & Analytics Department, click here .

Work culture at Merkle's Data Science & Analytics Department is rated 3.6 out of 5 by 14 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 Merkle's Data Science & Analytics Department, click here .

Based on 14 reviews on AmbitionBox, Merkle's Data Science & Analytics Department employees rate job security at 3.7 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 Merkle's Data Science & Analytics Department.

According to AmbitionBox, 12% of Merkle's Data Science & Analytics Department employees work from home permanently, 4% work from the office, and 84% follow a hybrid model, based on 26 reviews in the last 6 months. This reflects a flexible approach to work arrangements. To read reviews specifically about work-life balance, click here.

To get a job at Merkle'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 Merkle interview questions and practice your responses to prepare thoroughly.