1. What is the average salary of a Data Analysis/Statistician IV?
The average annual salary of Data Analysis/Statistician IV is $118,300.
In case you are finding an easy salary calculator,
the average hourly pay of Data Analysis/Statistician IV is $57;
the average weekly pay of Data Analysis/Statistician IV is $2,275;
the average monthly pay of Data Analysis/Statistician IV is $9,858.
2. Where can a Data Analysis/Statistician IV earn the most?
A Data Analysis/Statistician IV'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 Analysis/Statistician IV earns the most in San Jose, CA, where the annual salary of a Data Analysis/Statistician IV is $148,500.
3. What is the highest pay for Data Analysis/Statistician IV?
The highest pay for Data Analysis/Statistician IV is $155,172.
4. What is the lowest pay for Data Analysis/Statistician IV?
The lowest pay for Data Analysis/Statistician IV is $83,912.
5. What are the responsibilities of Data Analysis/Statistician IV?
The Data Analysis/Statistician IV compiles reports, charts, and tables based on established statistical methods. Analyzes and interprets data from various sources. Being a Data Analysis/Statistician IV typically reports to a manager or head of a unit/department. Requires a bachelor's degree in a related area. Working as a Data Analysis/Statistician IV typically requires 7+ years of related experience. A specialist on complex technical and business matters. Work is highly independent. May assume a team lead role for the work group.
6. What are the skills of Data Analysis/Statistician IV
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.)
Statistical Methods: Using mathematical formulas, models, and techniques to analyze raw research data.
3.)
Study Design: A framework, or the set of methods and procedures used to collect and analyze data on variables specified in a particular research problem.