1. What is the average salary of a Data Analysis/Statistician III?
The average annual salary of Data Analysis/Statistician III is $104,400.
In case you are finding an easy salary calculator,
the average hourly pay of Data Analysis/Statistician III is $50;
the average weekly pay of Data Analysis/Statistician III is $2,008;
the average monthly pay of Data Analysis/Statistician III is $8,700.
2. Where can a Data Analysis/Statistician III earn the most?
A Data Analysis/Statistician III'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 III earns the most in San Jose, CA, where the annual salary of a Data Analysis/Statistician III is $130,900.
3. What is the highest pay for Data Analysis/Statistician III?
The highest pay for Data Analysis/Statistician III is $131,146.
4. What is the lowest pay for Data Analysis/Statistician III?
The lowest pay for Data Analysis/Statistician III is $76,316.
5. What are the responsibilities of Data Analysis/Statistician III?
The Data Analysis/Statistician III compiles reports, charts, and tables based on established statistical methods. Analyzes and interprets data from various sources. Being a Data Analysis/Statistician III typically reports to a supervisor or manager. Requires a bachelor's degree in area of specialty. Working as a Data Analysis/Statistician III typically requires 4 to 7 years of related experience. Contributes to moderately complex aspects of a project. Work is generally independent and collaborative in nature.
6. What are the skills of Data Analysis/Statistician III
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.)
Quality Control: Developing and implementing a set of procedures intended to maintain the quality of a product and reduce any risks or errors.
3.)
Clinical Research: Clinical research is a branch of healthcare science that determines the safety and effectiveness (efficacy) of medications, devices, diagnostic products and treatment regimens intended for human use. These may be used for prevention, treatment, diagnosis or for relieving symptoms of a disease. Clinical research is different from clinical practice. In clinical practice established treatments are used, while in clinical research evidence is collected to establish a treatment.