Photo: Bob E. Hayes |
Bob E. Hayes, PhD (Business Over Broadway) scientist, blogger and author on CXM and data science (TCE: Total Customer Experience, Beyond the Ultimate Question and Measuring Customer Satisfaction and Loyalty).
Photo: Customer Think |
Kaggle released the raw survey data and many in the data science community have analyzed the data (see link above). I will be exploring their survey data over the next couple of months. When I find something interesting, I’ll be sure to post it here on my blog. Today’s post explores the difference among data professionals on their level of job satisfaction.
The Value of Job Satisfaction
Job satisfaction is useful metric to study in business, often used to monitor and manage employee relationships. There is much evidence supporting the utility of using job satisfaction as a way to manage your business. For example, employees who are satisfied with their job also perform better on the job and will likely stay on the job (lower turnover) compared to employees who are dissatisfied with their job. Additionally, satisfied employees deliver a better experience to their customers compared to dissatisfied employees, ultimately improving other organizational outcomes like productivity and profit...
Job Satisfaction Varies by Data Science Job Title
Results showed that data professionals are satisfied with their current job (Mean = 6.8). I found that 75% of the respondents indicated they were satisfied (ratings between 6 and 10 inclusive). Nearly 1 out of 5 (19.4%) data professionals indicated that they were very satisfied (ratings of 9 or 10) with their job. A quarter of the data professionals said they were dissatisfied with their current job.
Results showed that job satisfaction varies significantly across job titles.
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Source: Customer Think