1. What is the average salary of a Transaction Processing Assistant I?
The average annual salary of Transaction Processing Assistant I is $42,510.
In case you are finding an easy salary calculator,
the average hourly pay of Transaction Processing Assistant I is $20;
the average weekly pay of Transaction Processing Assistant I is $818;
the average monthly pay of Transaction Processing Assistant I is $3,543.
2. Where can a Transaction Processing Assistant I earn the most?
A Transaction Processing Assistant 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 Transaction Processing Assistant I earns the most in San Jose, CA, where the annual salary of a Transaction Processing Assistant I is $53,618.
3. What is the highest pay for Transaction Processing Assistant I?
The highest pay for Transaction Processing Assistant I is $49,445.
4. What is the lowest pay for Transaction Processing Assistant I?
The lowest pay for Transaction Processing Assistant I is $36,093.
5. What are the responsibilities of Transaction Processing Assistant I?
Assists with a variety of transaction processing tasks. Captures and manages data using established processes, procedures, and quality control standards. Helps with data loading, data validation, and routine data analysis. Compiles data into relevant reports. May assist in researching data errors. Requires a high school diploma or equivalent. Typically reports to a supervisor. Works under the close direction of senior personnel in the functional area. Possesses a moderate understanding of general aspects of the job. May require 0-1 year of general work experience.
6. What are the skills of Transaction Processing Assistant 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.
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Process Improvement: Analyzing and improving existing processes and workflows to minimize process errors and streamline organizational efficiency.
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Data Analytics: 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.
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Product Management: Product management is an organisational lifecycle function within a company dealing with the planning, forecasting, and production, or marketing of a product or products at all stages of the product lifecycle. Similarly, product lifecycle management (PLM) integrates people, data, processes and business systems. It provides product information for companies and their extended supply chain enterprise. The role may consist of product development and product marketing, which are different (yet complementary) efforts, with the objective of maximizing sales revenues, market share, and profit margins. Product management also involves elimination decisions. Product elimination begins with the identification of elimination candidates, proceeds with the consideration of remedial actions, continues with a projection of the impact on the business as a whole if a candidate product is eventually eliminated, and concludes with the implementation stage, where management determines the elimination strategy for an item. The product manager is often responsible for analyzing market conditions and defining features or functions of a product and for overseeing the production of the product. The role of product management spans many activities from strategic to tactical and varies based on the organizational structure of the company. To maximize the impact and benefits to an organization, Product management must be an independent function separate on its own.