1. What is the average salary of a Data Analysis/Statistician II?
The average annual salary of Data Analysis/Statistician II is $86,400.
In case you are finding an easy salary calculator,
the average hourly pay of Data Analysis/Statistician II is $42;
the average weekly pay of Data Analysis/Statistician II is $1,662;
the average monthly pay of Data Analysis/Statistician II is $7,200.
2. Where can a Data Analysis/Statistician II earn the most?
A Data Analysis/Statistician II'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 II earns the most in San Jose, CA, where the annual salary of a Data Analysis/Statistician II is $108,400.
3. What is the highest pay for Data Analysis/Statistician II?
The highest pay for Data Analysis/Statistician II is $113,528.
4. What is the lowest pay for Data Analysis/Statistician II?
The lowest pay for Data Analysis/Statistician II is $63,666.
5. What are the responsibilities of Data Analysis/Statistician II?
The Data Analysis/Statistician II compiles reports, charts, and tables based on established statistical methods. Analyzes and interprets data from various sources. Being a Data Analysis/Statistician II typically reports to a supervisor or manager. Requires a bachelor's degree in a related area. Working as a Data Analysis/Statistician II typically requires 2 to 4 years of related experience. Gains exposure to some of the complex tasks within the job function. Occasionally directed in several aspects of the work.
6. What are the skills of Data Analysis/Statistician II
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.