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Data Processing Jobs (NOW HIRING)

Instruct, supervise, manage, and monitor site personnel ensuring data processing, review , analysis, submission of reports * Attending project meetings, schedule control, submit for permits for on ...

Instruct, supervise, manage, and monitor site personnel ensuring data processing, review , analysis, submission of reports * Attending project meetings, schedule control, submit for permits for on ...

Instruct, supervise, manage, and monitor site personnel ensuring data processing, review , analysis, submission of reports * Attending project meetings, schedule control, submit for permits for on ...

Instruct, supervise, manage, and monitor site personnel ensuring data processing, review , analysis, submission of reports * Attending project meetings, schedule control, submit for permits for on ...

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DATA Processing information

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How much do data processing jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for data processing in the United States is $20.27, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $22.36 per hour, depending on experience, location, and employer.

What is data processing?

A Data Processing job involves collecting, organizing, and managing data to ensure accuracy and accessibility. Professionals in this role use software tools to input, clean, analyze, and process data for businesses or organizations. They may also generate reports and automate workflows to streamline data handling. Strong attention to detail and proficiency in data management tools are essential for success in this field.

What are the typical daily responsibilities of someone working in data processing?

A typical day for a Data Processing professional involves entering, validating, and updating records in databases or spreadsheets to ensure data integrity. You may also be responsible for generating reports, cleaning large data sets, and identifying discrepancies or errors for correction. Collaboration with team members or departments is common to clarify data requirements and resolve issues. Staying organized and attentive to detail is essential because the quality of processed data can impact decision-making across the organization.

What are the key skills and qualifications needed to thrive in data processing, and why are they important?

To thrive in Data Processing, you need strong analytical abilities, attention to detail, and proficiency with spreadsheets and database management, often supported by an associate's degree or relevant experience. Familiarity with tools like Microsoft Excel, SQL, or data entry software, as well as certifications such as Certified Data Processor (CDP), are frequently expected. Strong organizational skills, time management, and the ability to troubleshoot problems efficiently are valued soft skills. These competencies are crucial for ensuring data accuracy, meeting deadlines, and supporting smooth information operations within an organization.

What do you do as a data processing?

A data processing professional collects, organizes, and analyzes data to ensure accuracy and usability. They use tools like spreadsheets, databases, and data management software to clean, transform, and prepare data for reporting or decision-making. Attention to detail and knowledge of data handling techniques are essential in this role.

What is a data processing job role?

A data processing job involves collecting, organizing, and converting raw data into a usable format for analysis or reporting. It often requires skills in data management tools, attention to detail, and knowledge of data formats and software such as Excel, SQL, or specialized processing programs.

What cities are hiring for Data Processing jobs?

Cities with the most Data Processing job openings:

What are the most commonly searched types of Data Processing jobs?

The most popular types of Data Processing jobs are:

What states have the most Data Processing jobs?

States with the most job openings for Data Processing jobs include:

Infographic showing various Data Processing job openings in the United States as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $42,153 per year, or $20.3 per hour.

Data Processing and Quality Analyst

High Point University

High Point, NC • On-site

Full-time

Re-posted 12 days ago


High Point University rating

7.0

Company rating: 7.0 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

436th of 618 rated colleges and universities


Job description

High Point University is currently seeking a full-time Data Processing and Quality Analyst with in the Workman School of Dental Medicine.This role is responsible for supporting the integrity, consistency, and operational reliability of data used across institutional analytics systems. The position focuses on executing data validation processes, maintaining data workflows, and ensuring accurate reporting across platforms such as Excel and Power BI.
This position is well-suited for an early-career professional interested in developing skills in educational data operations, reporting systems, and learning analytics within a collaborative higher education environment.
Working under the direction of the Director of Design and Process Enhancement, this role applies established data standards, supports survey deployment and evaluation systems implementation, and contributes to ongoing improvements in data quality and reporting processes.
REQUIRED QUALIFICATIONS:
  • 1-3 years of experience in data cleaning, data validation, data operations, or database management (internships or relevant project work considered).

  • Strong proficiency in Microsoft Excel (e.g., data cleaning, formulas, pivot tables, data organization).

  • Exposure to or interest in learning data visualization tools such as Power BI or Tableau.

  • Demonstrated ability to identify data inconsistencies, troubleshoot errors, and ensure data accuracy across systems.

  • Strong organizational skills with the ability to document processes and maintain clear records.

  • Demonstrated ability to follow established data workflows and standards with a high level of attention to detail.

PREFERRED QUALIFICATIONS:
  • Bachelor's degree in business, information systems, statistics, or a related field.

  • Experience working with data visualization tools (e.g., Power BI, Tableau) or willingness to learn.

  • Experience supporting survey development or working with tools such as Qualtrics or similar platforms.

  • Exposure to educational assessment, student performance data, or learning analytics environments.

  • Experience working in higher education or healthcare-related settings

  • Familiarity with academic or administrative systems (e.g., LMS platforms like Blackboard, ExamSoft, or similar tools).

  • Experience documenting workflows, data processes, or standard operating procedures.

  • Interest in improving data quality, systems efficiency, and operational workflows.

  • Experience in or willingness to learn data analysis and visualization with proficiency in tools such as Power BI, SQL, R, and/or Python.

  • Prior experience in higher education, especially in dental or other healthcare professional programs.

  • Familiarity with academic tools, such as ExamSoft, TrackCC, Blackboard, etc.

  • Experience working with educational data is strongly preferred.

ESSENTIAL FUNCTIONS:
Data Quality & Validation:
  • Operate and maintain assessment platforms (e.g., PowerBI, Dashboards, ExamSoft, Excel, LMS data, survey tools, EPIC) for longitudinal tracking of student performance and curricular effectiveness.

  • Execute routine data validation, cleaning, and quality assurance processes across multiple data sources (e.g., Qualtrics, ExamSoft, LMS, Excel).

  • Identify, troubleshoot, and resolve data inconsistencies, missing data, and structural issues.

  • Apply established data standards, naming conventions, and formatting rules to ensure consistency across systems.

  • Support recurring data workflows and reporting processes.

Data Management & Systems Support:
  • Support the maintenance of dashboards and reporting systems (e.g., Power BI, Excel-based reports) used for academic and operational decision-making.

  • Prepare, organize, and transform datasets for reporting and analysis.

  • Assist in maintaining data structures that support longitudinal tracking of learner performance.

  • Document data processes, workflows, and system updates to ensure continuity and transparency.

Reporting & Analytics Support:
  • Generate routine and ad hoc reports to support faculty, committees, and leadership.

  • Assist in identifying trends, patterns, and data gaps to support decision-making.

  • Support the preparation of recurring reports (e.g., course/module performance, EPA evaluations, attendance tracking).

Survey & Evaluation Support:
  • Build and maintain surveys and evaluation tools using platforms such as Qualtrics or similar systems.

  • Ensure consistency and accuracy in data collection instruments across reporting cycles.

  • Support the implementation and tracking of feedback and evaluation processes.

  • Handle data edits and user requests for changes (edits/removal) of data.

  • Work with users about data changes and updates.

Accreditation & Continuous Quality Improvement Support:
  • Support data preparation and documentation for accreditation and reporting requirements.

  • Maintain organized data repositories and reporting outputs used for compliance and review processes.

  • Assist in continuous quality improvement efforts by ensuring reliable data is available for evaluation and decision-making.

Collaboration & Communication:
  • Collaborate with internal and external stakeholders to ensure data needs are met and reporting outputs are usable and clear.

  • Provide basic guidance to faculty and staff on accessing and interpreting standard reports and dashboards.

  • Communicate data issues or inconsistencies clearly and in a timely manner.

  • This role will also perform other duties as assigned by the Director.

ACCOUNTABILITY:
  • Works under the supervision of the Director of Design and Process Enhancement, with regular performance reviews incorporating feedback from faculty, staff, and learners.

  • Contributes to departmental goals around curriculum innovation, student success, and accreditation readiness.

For more information, please contact the Director of Design and Process Enhancement at mvaldebe@highpoint.edu

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