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Data Visualization Jobs in High Point, NC (NOW HIRING)

Skilled at teaching data manipulation, visualization creation, and insight extraction from data sets. Guides students through importing and cleaning data, calculating summary statistics, creating ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Hands-on experience with data visualization and reporting tools such as Power BI or Tableau. * Solid understanding of data modeling, data structures, and data integration concepts. * Familiarity with ...

... data visualization tools - Experience in designing advanced analytics solutions - Coaching and collaborating with team members Travel Requirements Up to 80% Job Posting End Date The salary range for ...

Senior Data Analyst

Greensboro, NC · On-site

$74K - $92K/yr

Data Visualization and Reporting * Design intuitive data visualizations and dashboards that communicate insights clearly. * Develop reporting tools that make complex data easier to understand and use.

Senior Data Analyst

Greensboro, NC · On-site

$74K - $92K/yr

Data Visualization and Reporting Design intuitive data visualizations and dashboards that communicate insights clearly. Develop reporting tools that make complex data easier to understand and use.

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Data Visualization information

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$48.2K

$97.7K

$144.1K

How much do data visualization jobs pay per year?

As of Jul 28, 2026, the average yearly pay for data visualization in High Point, NC is $97,650.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,300.00 and $109,700.00 per year, depending on experience, location, and employer.

What Is Data Visualization?

Data visualization is the process of taking statistical data and preparing it in a visual context that is easier to understand. You use software and graphics to demonstrate patterns, correlations, and trends that appear more significant when viewed outside of a written context. Visual representation comes in the form of infographics, heat maps, geographic maps, and detailed pie or bar charts. Business intelligence recognizes the need for appropriate colors and images and is now standard for modern organizations. Data visualization is also a reporting tool that tracks performance and generates dashboards to observe click-through rates digital marketing campaigns.

Is 40 too late for data science?

Data visualization is a key skill in data science, and individuals can successfully transition into this field at any age, including 40. Building relevant skills such as proficiency in tools like Tableau or Power BI, along with foundational knowledge in statistics and programming, can facilitate entry regardless of age, as employers value experience and diverse perspectives.

Can I be a data analyst with no experience?

Data analysts typically need some familiarity with data analysis tools like Excel, SQL, or visualization software such as Tableau. While prior experience is often preferred, entry-level positions may be available for those who demonstrate strong analytical skills and a willingness to learn through courses or certifications. Building a portfolio of projects can also improve chances of securing a data analyst role without formal experience.

What is the difference between Data Visualization vs Data Analyst?

AspectData VisualizationData Analyst
Primary FocusCreating visual representations of dataAnalyzing and interpreting data
SkillsData visualization tools, graphic design, storytellingStatistical analysis, Excel, SQL, data interpretation
ToolsTableau, Power BI, D3.jsExcel, SQL, R, Python
Work EnvironmentDesign-focused, often collaborative with data teamsAnalytical, research-oriented, cross-departmental

Data Visualization specialists focus on creating visual representations to communicate data insights effectively, while Data Analysts analyze data to uncover trends and inform decisions. Both roles often collaborate but serve different core functions within data-driven organizations.

What is data visualization?

Data visualization is the process of representing data and information in a graphical or pictorial format, such as charts, graphs, or maps. This practice helps people understand complex data sets more easily by highlighting patterns, trends, and outliers. Data visualization is widely used in various industries to support decision-making, communicate insights, and make data more accessible to a broader audience.

Is data visualization a good career?

Data visualization is a valuable career in data analysis and business intelligence, involving creating visual representations of data using tools like Tableau, Power BI, or Python. It requires strong analytical skills, knowledge of data tools, and the ability to communicate insights effectively, making it a growing field with demand across many industries.

What are some common challenges faced by professionals in Data Visualization roles, and how can they be addressed?

Professionals in Data Visualization often encounter challenges such as translating complex datasets into clear, meaningful visuals and ensuring that visualizations are both accurate and accessible to diverse audiences. Balancing aesthetic appeal with functionality can also be demanding, as visuals must communicate insights without causing confusion. To address these challenges, effective collaboration with data analysts, subject matter experts, and end-users is essential, as is staying current with best practices and visualization tools. Regular feedback and iteration help refine visualizations to best meet stakeholders' needs.

What are the key skills and qualifications needed to thrive as a Data Visualization Specialist, and why are they important?

To thrive as a Data Visualization Specialist, you need strong analytical abilities, a solid foundation in statistics, and proficiency with data visualization principles, typically supported by a degree in data science, computer science, or a related field. Familiarity with visualization tools such as Tableau, Power BI, or D3.js, and experience with data processing languages like Python or R, are commonly required. Creativity, attention to detail, and effective communication skills help convey complex data insights clearly to diverse audiences. These skills ensure that data is transformed into actionable, visually compelling insights that drive informed decision-making within organizations.

What jobs do data visualization?

Data visualization jobs include roles such as data analyst, data scientist, business intelligence analyst, and data visualization specialist. These positions involve creating visual representations of data using tools like Tableau, Power BI, or Python to help organizations interpret complex information and support decision-making.
What job categories do people searching Data Visualization jobs in High Point, NC look for? The top searched job categories for Data Visualization jobs in High Point, NC are:
What cities near High Point, NC are hiring for Data Visualization jobs? Cities near High Point, NC with the most Data Visualization job openings:
Infographic showing various Data Visualization job openings in High Point, NC as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $97,650 per year, or $46.9 per hour.
Data Processing and Quality Analyst

Data Processing and Quality Analyst

High Point University

High Point, NC

Full-time

Posted 20 days ago


High Point University rating

6.3

Company rating: 6.3 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

526th of 612 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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