1. What is the average salary of a Data Modeling Analyst?
The average annual salary of Data Modeling Analyst is $99,965.
In case you are finding an easy salary calculator,
the average hourly pay of Data Modeling Analyst is $48;
the average weekly pay of Data Modeling Analyst is $1,922;
the average monthly pay of Data Modeling Analyst is $8,330.
2. Where can a Data Modeling Analyst earn the most?
A Data Modeling Analyst'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 Modeling Analyst earns the most in San Jose, CA, where the annual salary of a Data Modeling Analyst is $125,457.
3. What is the highest pay for Data Modeling Analyst?
The highest pay for Data Modeling Analyst is $122,151.
4. What is the lowest pay for Data Modeling Analyst?
The lowest pay for Data Modeling Analyst is $75,245.
5. What are the responsibilities of Data Modeling Analyst?
Data Modeling Analyst develops data models to meet the needs of the organization's information systems. Manages the flow of information between departments through the use of relational databases. Being a Data Modeling Analyst maintains data integrity by working to eliminate redundancy. Stays informed of the ways the organization uses its data. Additionally, Data Modeling Analyst requires a bachelor's degree. Typically reports to a manager. The Data Modeling Analyst gains exposure to some of the complex tasks within the job function. Occasionally directed in several aspects of the work. To be a Data Modeling Analyst typically requires 2 to 4 years of related experience.
6. What are the skills of Data Modeling Analyst
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.)
ERwin: CA ERwin Data Modeler (or ERwin for short) is a data modeling and database design tool that is used to create conceptual, logical, and physical data models.
3.)
Oracle: Applying Oracle to manage data and information applications effectively.