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How much do data analysis internship jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for data analysis internship in High Point, NC is $20.08, according to ZipRecruiter salary data. Most workers in this role earn between $15.43 and $21.88 per hour, depending on experience, location, and employer.

What is a data analysis internship?

A Data Analysis Internship is a temporary position where students or recent graduates gain practical experience in collecting, processing, and interpreting data to help organizations make informed decisions. Interns typically work under the supervision of experienced data analysts and use tools like Excel, SQL, or Python to analyze datasets. The role helps interns develop technical and analytical skills, and often includes tasks such as generating reports, identifying trends, and presenting findings. This internship is valuable for building a foundation in data analysis and can lead to future career opportunities in the field.

What are the key skills and qualifications needed to thrive as a data analysis intern?

To thrive as a Data Analysis Intern, you typically need a strong foundation in statistics, analytical thinking, and familiarity with data manipulation, often supported by coursework in mathematics, computer science, or related fields. Proficiency in tools such as Excel, SQL, Python or R, and data visualization platforms like Tableau is commonly expected. Attention to detail, curiosity, and effective communication skills help interns interpret data accurately and share insights with diverse teams. These abilities are crucial for transforming raw data into actionable insights and supporting informed decision-making within an organization.

What are some common challenges faced during a data analysis internship, and how can I overcome them?

As a Data Analysis Intern, one common challenge is working with large, complex datasets that may have missing or inconsistent information. Learning how to clean and preprocess data efficiently is crucial for meaningful analysis. Another challenge is understanding the business context behind the data, which often requires close collaboration with team members from different departments. To overcome these hurdles, proactively seek guidance from mentors, utilize available documentation, and regularly communicate with stakeholders to clarify project goals and data requirements.

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

AspectData Analysis InternshipData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some roles prefer certifications
Work EnvironmentInternship programs, entry-level, supervisedFull-time, professional setting, independent responsibilities
Employer & Industry UsageInternship programs in tech, finance, healthcare, etc.Full-time roles across various industries
Search & Comparison IntentLooking for entry-level opportunities, internshipsSeeking full-time data analysis roles

In summary, a Data Analysis Internship is an entry-level, supervised position designed for students or recent graduates to gain experience. A Data Analyst is a full-time professional role requiring more experience and responsibility. Both roles are common in similar industries and often share similar educational backgrounds, but they differ significantly in scope and career stage.

Is a data analysis internship worth it?

A data analysis internship provides practical experience with tools like Excel, SQL, and Python, and helps develop skills in data visualization and reporting. It can improve employability, build a professional network, and often leads to full-time opportunities in data-related roles. The value depends on the internship's quality and how well it aligns with career goals.

What are the most commonly searched types of Data Analysis jobs in High Point, NC?

The most popular types of Data Analysis jobs in High Point, NC are:

What are popular job titles related to Data Analysis Internship jobs in High Point, NC?

For Data Analysis Internship jobs in High Point, NC, the most frequently searched job titles are:

What job categories do people searching Data Analysis Internship jobs in High Point, NC look for?

The top searched job categories for Data Analysis Internship jobs in High Point, NC are:

What cities near High Point, NC are hiring for Data Analysis Internship jobs?

Cities near High Point, NC with the most Data Analysis Internship job openings:

Data Analysis Internship jobs near you
Infographic showing various Data Analysis Internship job openings in High Point, NC as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $41,763 per year, or $20.1 per hour.

Data Processing and Quality Analyst

High Point University

High Point, NC • On-site

Full-time

Re-posted 17 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

440th of 622 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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