1. What is the average salary of a GIS Analyst IV?
The average annual salary of GIS Analyst IV is $115,694.
In case you are finding an easy salary calculator,
the average hourly pay of GIS Analyst IV is $56;
the average weekly pay of GIS Analyst IV is $2,225;
the average monthly pay of GIS Analyst IV is $9,641.
2. Where can a GIS Analyst IV earn the most?
A GIS Analyst 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 GIS Analyst IV earns the most in San Jose, CA, where the annual salary of a GIS Analyst IV is $145,925.
3. What is the highest pay for GIS Analyst IV?
The highest pay for GIS Analyst IV is $128,173.
4. What is the lowest pay for GIS Analyst IV?
The lowest pay for GIS Analyst IV is $102,111.
5. What are the responsibilities of GIS Analyst IV?
Compiles, manipulates, and analyzes geospatial data. Designs, develops, and maintains databases and systems of GIS data. Creates reports, maps, applications, and visualizations conveying the results of spatial analyses. Utilizes scripting languages to refine GIS data pipelines and processes. May provide GIS training or assistance to other organization members. Typically requires a bachelor's degree or equivalent. Typically reports to a manager or head of a unit/department. Work is highly independent. May assume a team lead role for the work group. A specialist on complex technical and business matters. Typically requires 7+ years of related experience.
6. What are the skills of GIS Analyst 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.)
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.