Data Processing and Quality Analyst

High Point University; United States; On-site; USD 55,000 - 85,000; Full time

Job summary

High Point University is seeking a full-time Data Processing and Quality Analyst to ensure data integrity and reliability across institutional analytics in the Workman School of Dental Medicine. You will operate Power BI dashboards, ExamSoft, Excel, and LMS data for longitudinal tracking of student performance and curricular effectiveness.

Responsibilities include data validation, cleaning, and QA across Qualtrics, LMS, and Excel; documenting processes; preparing routine and ad hoc reports; and

Qualifications

• 1–3 years of experience in data cleaning, validation, data operations, or database management.
• Strong proficiency in Microsoft Excel (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 documenting processes and maintaining clear records.
• Demonstrated ability to follow established data workflows and standards with attention to detail.
• Preferred: Bachelor’s degree in business, information systems, statistics, or a related field.
• Experience with Qualtrics, ExamSoft or LMS tools; higher education or healthcare settings a plus.
• Experience documenting workflows or SOPs; willingness to learn data analysis/visualization (Power BI, SQL, R, Python).
• Familiarity with academic tools (LMS platforms like Blackboard, ExamSoft) and data governance.

Responsibilities

• Operate and maintain assessment platforms (PowerBI, dashboards, ExamSoft, Excel, LMS data) for longitudinal tracking.
• Execute routine data validation, cleaning, and quality assurance across multiple data sources.
• Identify, troubleshoot, and resolve data inconsistencies and structural issues.
• Apply data standards, naming conventions, and formatting rules for consistency.
• Support recurring data workflows and reporting processes.
• Maintain dashboards and reporting systems (Power BI, Excel reports) for decision-making.
• Prepare, organize, and transform datasets for reporting and analysis.
• Assist in maintaining data structures supporting learner performance tracking.
• Document data processes, workflows, and system updates for continuity.
• Generate routine and ad hoc reports for faculty, committees, and leadership.
• Identify trends and data gaps to support decision-making.
• Support recurring reports (course/module performance, EPA evaluations, attendance).
• Build and maintain surveys/evaluation tools (Qualtrics or similar).
• Ensure consistency and accuracy in data collection instruments across cycles.
• Support accreditation reporting and data preparation.
• Maintain organized data repositories and outputs used for compliance.
• Contribute to quality improvement by ensuring reliable data for evaluation.
• Collaborate with stakeholders to meet reporting needs and clarity of outputs.
• Provide guidance to faculty/staff on standard reports and dashboards.
• Communicate data issues clearly and promptly.

Skills

Data cleaning

Data validation

Data operations

Data quality

Excel proficiency

Power BI

Tableau

SQL

R

Python

Documentation

Attention to detail

Education

Bachelor’s degree in business, information systems, statistics, or a related field

Tools

Power BI

Tableau

Qualtrics

ExamSoft

LMS

Excel

SQL

R

Python

Job description

High Point University is currently seeking a full‑time Data Processing and Quality Analyst to support the integrity, consistency, and operational reliability of data used across institutional analytics systems in the Workman School of Dental Medicine.

Responsibilities

• Operate and maintain assessment platforms (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 (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.
• Support the maintenance of dashboards and reporting systems (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.
• 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 (course/module performance, EPA evaluations, attendance tracking).
• 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.
• 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.
• 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.
• Perform other duties as assigned by the Director of Design and Process Enhancement.

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 (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: Bachelor’s degree in business, information systems, statistics, or a related field.
• Experience working with data visualization tools (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 (LMS platforms like Blackboard, ExamSoft, etc.).
• 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, Python.
• Prior experience in higher education, especially in dental or other healthcare professional programs.
• Familiarity with academic tools, such as ExamSoft, TrackCC, Blackboard, etc.

Accountability & Contact

Works under the supervision of the Director of Design and Process Enhancement, with regular performance reviews incorporating feedback from faculty, staff, and learners. For more information, please contact the Director of Design and Process Enhancement at [e-mail].

Equal Employment Opportunity Statement

High Point University prohibits discrimination on the basis of race, color, national or ethnic origin, religion, sex, age, disability, genetic information, veteran status, and other legally protected statuses. The University encourages all applicants to apply.