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How much do internship data processing jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for internship data processing in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What is the difference between Internship Data Processing vs Data Analyst?

AspectInternship Data ProcessingData Analyst
Required CredentialsHigh school diploma or ongoing college courseworkBachelor's degree in data science, statistics, or related field
Work EnvironmentInternship setting, often in office or remoteFull-time professional environment, corporate or agency
Employer & Industry UsageInternship programs in various industries, entry-levelEstablished role in finance, marketing, healthcare, etc.
Common Search & ComparisonOften compared for entry-level data rolesMore advanced, requiring experience and skills

Internship Data Processing typically involves entry-level tasks like data entry, cleaning, and basic analysis under supervision, suitable for students or recent graduates. Data Analysts perform comprehensive data analysis, interpret results, and support decision-making, requiring more experience and technical skills. The internship serves as a stepping stone toward a full Data Analyst role.

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Internship Data Processing jobs near you

Data Processing and Quality Analyst

High Point, NC • On-site

High Point University
Colleges, Universities, and Professional Schools • 501 - 1,000 employees
Learn more about High Point Universityexternal

Full-time

Re-posted 3 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

441st of 631 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.

REQUIREDQUALIFICATIONS:

  • 1-3 years of experienceindata cleaning, data validation, data operations, or database management (internships or relevant project work considered).

  • StrongproficiencyinMicrosoft Excel (e.g., data cleaning, formulas, pivot tables, data organization).

  • Exposure to orinterestinlearning data visualization tools such as Power BIor Tableau.

  • Demonstrated ability toidentifydatainconsistencies, troubleshoot errors, and ensure data accuracy across systems.

  • Strong organizational skills with the ability to document processes andmaintainclear records.

  • Demonstrated ability to follow established data workflows and standards witha high levelof attention to detail.

PREFERRED QUALIFICATIONS:

  • Bachelor's degreeinbusiness,information systems, statistics, ora 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 toeducational assessment, student performance data, or learning analytics environments.

  • Experience workinginhigher 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.

  • Interestinimproving data quality, systems efficiency, and operational workflows.

  • Experienceinor willingness to learn data analysis and visualization withproficiencyintools such as Power BI, SQL, R, and/or Python.

  • Prior experienceinhigher education, especiallyindental or other healthcare professional programs.

  • Familiarity with academic tools, such asExamSoft,TrackCC, Blackboard, etc.

  • Experience working with educational datais strongly preferred.

ESSENTIAL FUNCTIONS:
Data Quality & Validation:

  • Operate andmaintainassessment 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 datainconsistencies, missing data, and structuralissues.

  • 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.

  • Assistinmaintainingdata 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.

  • Assistinidentifyingtrends, 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 andmaintainsurveys and evaluation tools using platforms such as Qualtrics or similar systems.

  • Ensure consistency and accuracyindata collectioninstruments across reporting cycles.

  • Support theimplementation 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 QualityImprovement Support:

  • Support data preparation and documentation for accreditation and reporting requirements.

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

  • Assistincontinuous qualityimprovement efforts by ensuring reliable datais available for evaluation and decision-making.

Collaboration & Communication:

  • Collaborate withinternaland externalstakeholders to ensure data needs aremetand reporting outputs are usable and clear.

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

  • Communicate dataissues orinconsistencies clearly andina timely manner.

  • This role will alsoperformother duties as assigned by the Director.

ACCOUNTABILITY:

  • Works under the supervision of theDirector of Design and Process Enhancement, with regular performance reviewsincorporating feedback from faculty, staff, and learners.

  • Contributes to departmental goals around curriculuminnovation, student success, andaccreditationreadiness.


For moreinformation, please contact theDirector of Design and Process Enhancementat mvaldebe@highpoint.edu

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