ZipRecruiter

Log In

1

Data Jobs in High Point, NC (NOW HIRING)

previous page

Showing results 41-60

All JobsData JobsData Jobs in High Point, NC

Data information

See High Point, NC salary details

$41K

$147.2K

$217.2K

How much do data jobs pay per year?

As of Sep 3, 2026, the average yearly pay for data in High Point, NC is $147,227.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,100.00 and $151,700.00 per year, depending on experience, location, and employer.

What are different jobs that work with data?

Many different jobs require you to work with data. Occupational health and safety engineers, for instance, assess safety data collected by technicians and specialists and then design new processes to mitigate observed risks. Many careers in medical research, such as running clinical trials or developing new pharmaceuticals, require data collection and analysis. A large number of government labor and economic forecasting positions employ statisticians who analyze and model data based on surveys or raw information, such as the census or employment records.

What are the key skills and qualifications needed to thrive as a data analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is often required, and certifications in these tools can be advantageous. Attention to detail, critical thinking, and effective communication skills help analysts interpret data accurately and present actionable insights to stakeholders. These skills are crucial for transforming raw data into meaningful information that drives informed business decisions.

How does a data analyst typically collaborate with other departments within an organization?

Data Analysts frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and product development. They gather requirements from stakeholders, interpret data to provide actionable insights, and often present findings in meetings or reports tailored to the audience's needs. Effective communication is key, as analysts must translate complex data into clear, impactful recommendations that guide business decisions. This collaborative environment fosters both learning and professional growth, as Data Analysts gain exposure to various business functions.

What is the difference between Data vs Data Analyst?

AspectDataData Analyst
Required CredentialsTypically a degree in computer science, information technology, or related fieldsSame as Data, often requiring a degree in statistics, data science, or related areas
Work EnvironmentData professionals work in IT, data engineering, or database management settingsData analysts work in business, finance, marketing, and similar industries analyzing data for insights
Employer & Industry UsageUsed across tech, finance, healthcare, and more for data management and infrastructureCommonly employed in business sectors to interpret data and support decision-making

Data professionals focus on managing, storing, and processing data, while Data Analysts interpret and analyze data to generate insights. Both roles require similar educational backgrounds but differ in their primary functions within organizations.

What are careers in data?

Careers in data include roles such as data analyst, data scientist, data engineer, and database administrator. These jobs involve collecting, analyzing, and managing data using tools like SQL, Python, and data visualization software, often requiring strong analytical skills and knowledge of data management principles.

What data jobs are there?

Data jobs include roles such as data analyst, data scientist, data engineer, and database administrator. These positions typically require skills in programming, statistics, and data management tools like SQL, Python, or R, and may involve working with large datasets, data visualization, and machine learning techniques.
More about Data jobs

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

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

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

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

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

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

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

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

Data jobs near you
Infographic showing various Data job openings in High Point, NC as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $147,227 per year, or $70.8 per hour.

Data Processing and Quality Analyst

High Point University

High Point, NC • On-site

Full-time

Re-posted 28 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 628 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

What High Point University employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply