How much does a Data Processing Specialist I make in Guadalupe, CA? The average Data Processing Specialist I salary in Guadalupe, CA is $48,444 as of August 27, 2024, but the range typically falls between $42,784 and $63,272. Salary ranges 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.
Percentile | Salary | Location | Last Updated |
10th Percentile Data Processing Specialist I Salary | $37,630 | Guadalupe,CA | August 27, 2024 |
25th Percentile Data Processing Specialist I Salary | $42,784 | Guadalupe,CA | August 27, 2024 |
50th Percentile Data Processing Specialist I Salary | $48,444 | Guadalupe,CA | August 27, 2024 |
75th Percentile Data Processing Specialist I Salary | $63,272 | Guadalupe,CA | August 27, 2024 |
90th Percentile Data Processing Specialist I Salary | $76,771 | Guadalupe,CA | August 27, 2024 |
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.
Process Improvement: Analyzing and improving existing processes and workflows to minimize process errors and streamline organizational efficiency.
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.
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.
Skill | Salary | Demand |
---|---|---|
Leadership
|
$52,804 |
9%
|
Analysis
|
$52,320 |
8%
|
Initiative
|
$51,835 |
7%
|
Integrity
|
$51,351 |
6%
|
Problem Solving
|
$50,382 |
4%
|
Attention to Detail
|
$49,898 |
3%
|
What Should I Pay?
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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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.
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Job Title | Experience | EDUCATION | Salary Compared to This Job |
---|---|---|---|
Job Title Business Data Analyst I | Experience 0 - 2 | EducationBachelors | Salary Compared to This Job |
Job Title Data Analyst I | Experience 0 - 2 | EducationBachelors | Salary Compared to This Job |
Job Title Data Architect I | Experience 0 - 2 | EducationBachelors | Salary Compared to This Job |
Job Title Data Center Technician I | Experience 1 - 3 | EducationBachelors | Salary Compared to This Job |
Job Title Data Processing Specialist II | Experience 1 - 3 | EducationHigh School | Salary Compared to This Job |
Jobs with different levels of education may pay very differently. Check the Data Processing Specialist I salary of your education level.
A job category is a classification or grouping of job positions that share similar characteristics, functions, or industries. Data Processing Specialist I salary varies from category to category. Click below to see Data Processing Specialist I salary in different categories.
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About Guadalupe, California Guadalupe is located in the northwestern extremity of Santa Barbara County, immediately south of the Santa Maria River. The landscape in the vicinity ....More
Guadalupe, California area prices were up 2.5% from a year ago View the Cost of Living in Guadalupe, California
Data Processing Specialist I Salary in popular cities: Los Angeles, San Diego, San Jose
Skills associated with Data Processing Specialist I: Database Software, General Data Analysis Software, Data Manipulation, Data Quality ...More
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