1. What is the average salary of a Traffic/Rate Analyst I?
The average annual salary of Traffic/Rate Analyst I is $62,021.
In case you are finding an easy salary calculator,
the average hourly pay of Traffic/Rate Analyst I is $30;
the average weekly pay of Traffic/Rate Analyst I is $1,193;
the average monthly pay of Traffic/Rate Analyst I is $5,168.
2. Where can a Traffic/Rate Analyst I earn the most?
A Traffic/Rate Analyst I'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 Traffic/Rate Analyst I earns the most in San Jose, CA, where the annual salary of a Traffic/Rate Analyst I is $77,836.
3. What is the highest pay for Traffic/Rate Analyst I?
The highest pay for Traffic/Rate Analyst I is $76,424.
4. What is the lowest pay for Traffic/Rate Analyst I?
The lowest pay for Traffic/Rate Analyst I is $47,781.
5. What are the responsibilities of Traffic/Rate Analyst I?
Traffic/Rate Analyst I evaluates and designs transportation and distribution procedures to maximize delivery efficiency. Researches and analyzes freight costs and classifications, delivery methods, and delivery schedules to minimize delivery costs and maximize customer satisfaction. Being a Traffic/Rate Analyst I may require a bachelor's degree. Typically reports to a supervisor or manager. The Traffic/Rate Analyst I work is closely managed. Works on projects/matters of limited complexity in a support role. To be a Traffic/Rate Analyst I typically requires 0-2 years of related experience.
6. What are the skills of Traffic/Rate Analyst I
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.)
Transportation Management: Planning and managing transport or logistics operations to boost efficiency and simplify processes.
3.)
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.