1. What is the average salary of a Geographic Information Systems Analyst II?
The average annual salary of Geographic Information Systems Analyst II is $73,690.
In case you are finding an easy salary calculator,
the average hourly pay of Geographic Information Systems Analyst II is $35;
the average weekly pay of Geographic Information Systems Analyst II is $1,417;
the average monthly pay of Geographic Information Systems Analyst II is $6,141.
2. Where can a Geographic Information Systems Analyst II earn the most?
A Geographic Information Systems Analyst 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 Geographic Information Systems Analyst II earns the most in San Jose, CA, where the annual salary of a Geographic Information Systems Analyst II is $92,480.
3. What is the highest pay for Geographic Information Systems Analyst II?
The highest pay for Geographic Information Systems Analyst II is $90,139.
4. What is the lowest pay for Geographic Information Systems Analyst II?
The lowest pay for Geographic Information Systems Analyst II is $58,999.
5. What are the responsibilities of Geographic Information Systems Analyst II?
The Geographic Information Systems Analyst II extracts data from GIS software and uses varying analysis methods to arrive at results. Utilizes Geographic Information System techniques to provide a better understanding of certain variables in a given geographic location. Being a Geographic Information Systems Analyst II provides maps and data sets to clients to supplement analysis. Recommends appropriate reactionary strategies in response to GIS analysis. In addition, Geographic Information Systems Analyst II knowledgeable of GIS software and technology. Works in conjunction with CADD drafters and technicians. Requires a bachelor's degree in area of specialty. Typically reports to a supervisor or manager. Working as a Geographic Information Systems Analyst 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 Geographic Information Systems Analyst 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.)
Data Analysis: Data analysis is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science, and social science domains. In today's business world, data analysis plays a role in making decisions more scientific and helping businesses operate more effectively. Data mining is a particular data analysis technique that focuses on modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. In statistical applications, data analysis can be divided into descriptive statistics, exploratory data analysis (EDA), and confirmatory data analysis (CDA). EDA focuses on discovering new features in the data while CDA focuses on confirming or falsifying existing hypotheses. Predictive analytics focuses on application of statistical models for predictive forecasting or classification, while text analytics applies statistical, linguistic, and structural techniques to extract and classify information from textual sources, a species of unstructured data. All of the above are varieties of data analysis.
3.)
Programming: Executing logic to facilitate computing operations and functionality in one or more languages.
