1. What is the average salary of a Data Steward?
The average annual salary of Data Steward is $70,035.
In case you are finding an easy salary calculator,
the average hourly pay of Data Steward is $34;
the average weekly pay of Data Steward is $1,347;
the average monthly pay of Data Steward is $5,836.
2. Where can a Data Steward earn the most?
A Data Steward's earning potential can vary widely depending on several factors, including location, industry, experience, education, and the specific employer.
According to the latest salary data by Salary.com, a Data Steward earns the most in San Jose, CA, where the annual salary of a Data Steward is $88,335.
3. What is the highest pay for Data Steward?
The highest pay for Data Steward is $101,938.
4. What is the lowest pay for Data Steward?
The lowest pay for Data Steward is $52,203.
5. What are the responsibilities of Data Steward?
Coordinates an organization's quality, security, and maintenance of data. Defines data elements and establishes policies and procedures related to the collection and accuracy of data, and performs tests on data systems. Ensures sufficient data quality is maintained so that the data can effectively support the business process. Typically requires a bachelor's degree. Typically reports to a manager. Contributes to moderately complex aspects of a project. Work is generally independent and collaborative in nature. Typically requires 4 to 7 years of related experience.
6. What are the skills of Data Steward
Specify the abilities and skills that a person needs in order to carry out the specified job duties. Each competency has five to ten behavioral assertions that can be observed, each with a corresponding performance level (from one to five) that is required for a particular job.
1.)
Analysis: Analysis is the process of considering something carefully or using statistical methods in order to understand it or explain it.
2.)
Computer Science: Computer science is the study of computation, automation, and information. Computer science spans theoretical disciplines (such as algorithms, theory of computation, information theory, and automation) to practical disciplines.
3.)
Data Security: Protecting our organization's data and digital information from unauthorized access, theft, and cyberattacks.