How much does a Data Processing Specialist I make hourly in the United States? The average hourly wage for a Data Processing Specialist I in the United States is $21 as of March 26, 2024, but the range typically falls between $19 and $28. Hourly rate can vary widely depending on many important factors, including education, certifications, additional skills, the number of years you have spent in your profession. With more online, real-time compensation data than any other website, Salary.com helps you determine your exact pay target. 

Data Processing Specialist I Salaries by Percentile
Percentile Hourly Pay Rate Location Last Updated
10th Percentile Data Processing Specialist I Salary $16 US March 26, 2024
25th Percentile Data Processing Specialist I Salary $19 US March 26, 2024
50th Percentile Data Processing Specialist I Salary $21 US March 26, 2024
75th Percentile Data Processing Specialist I Salary $28 US March 26, 2024
90th Percentile Data Processing Specialist I Salary $33 US March 26, 2024
25% $19 10% $16 90% $33 75% $28 $21 50%(Median) Didn’t find job title? Click
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What skills does a Data Processing Specialist I need?

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.

Process Improvement: Analyzing and improving existing processes and workflows to minimize process errors and streamline organizational efficiency.

2.

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.

3.

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.

Process Improvement 5.63%
Data Analytics 1.59%
Product Management 1.12%
Others 91.66%

Job Description for Data Processing Specialist I

Data Processing Specialist I performs a variety of data tasks. Captures and manages data, including data loading, data validation, and routine data analysis. Being a Data Processing Specialist I helps create or prepare relevant reports for stakeholders or management. May assist in other related administrative or support activities, including data capture template generation, interfacing with quality assurance professionals, or researching data errors. Additionally, Data Processing Specialist I adheres strictly to procedures and quality control standards. Typically requires a high school diploma or equivalent. Typically reports to a supervisor or manager. The Data Processing Specialist I 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. (Copyright 2024 Salary.com)... View full job description

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Career Path for Data Processing Specialist I

A career path is a sequence of jobs that leads to your short- and long-term career goals. Some follow a linear career path within one field, while others change fields periodically to achieve career or personal goals.

For Data Processing Specialist I, the first career path typically starts with a Data Control Clerk II position, and then Data Control Supervisor.

The second career path typically starts with a Data Entry Clerk II position, and then progresses to Data Entry Supervisor.

Additionally, the third career path typically starts with a Data Processing Specialist II position, and then progresses to Data Processing Supervisor.

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Data Processing Specialist I salary varies from city to city. Compared with national average salary of Data Processing Specialist I, the highest Data Processing Specialist I salary is in San Francisco, CA, where the Data Processing Specialist I salary is 25.0% above. The lowest Data Processing Specialist I salary is in Miami, FL, where the Data Processing Specialist I salary is 3.5% lower than national average salary.

City, State Compared to national average
City, State San Francisco, CA Compared to national average
+ 25.0%
City, State Washington, DC Compared to national average
+ 11.3%
City, State Miami, FL Compared to national average
-3.5%
City, State Chicago, IL Compared to national average
+ 4.9%
City, State Boston, MA Compared to national average
+ 12.1%
City, State New York, NY Compared to national average
+ 16.8%
City, State Dallas, TX Compared to national average
-1.3%

Take just three simple steps below to generate your own personalized salary report

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Understand the total hourly compensation opportunity for a Data Processing Specialist I, hourly wage plus other pay elements

Average Hourly Wage

Core compensation

 
 
 
19
28
21

Average Total Hourly Cash Compensation

Includes base and short-term incentives

 
 
 
19
28
22
These charts show the average hourly wage (core compensation), as well as the average total hourly cash compensation for the job of Data Processing Specialist I in the United States. The average hourly rate for Data Processing Specialist I ranges from $19 to $28 with the average hourly pay of $21. The total hourly cash compensation, which includes base and short-term incentives, can vary anywhere from $19 to $28 with the average total hourly cash compensation of $22.
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19
28

 

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Skills associated with Data Processing Specialist I: Data Quality, Data Analysis, General Data Analysis Software, Data Validation ...More

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Data Processing Specialist I Salary in United States
Data Processing Specialist I Salary Graph, Regional Distribution and Summary