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Data Visualization Analyst Jobs in Raleigh, NC (NOW HIRING)

The Data Analytics Practice within Duke's Office of Information Technology is a new practice that provides Data Visualization, Data Engineering, and Data Science support for the university ...

The Data Analytics Practice within Duke's Office of Information Technology is a new practice that provides Data Visualization, Data Engineering, and Data Science support for the university ...

Experience with Power BI, Tableau, or similar data visualization tools * Experience supporting continuous improvement initiatives Education * Bachelor's degree in Business, Analytics, Operations, or ...

Experience with Power BI, Tableau, or similar data visualization tools * Experience supporting continuous improvement initiatives Education * Bachelor's degree in Business, Analytics, Operations, or ...

Data Analysis & VisualizationAnalyze structured and unstructured data to uncover insights that support operational and strategic goals. Includes supporting use cases related to IoT devices and ...

Data Science Tutor

Raleigh, NC · Remote

$18 - $40/hr

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 ...

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Data Visualization Analyst information

See Raleigh, NC salary details

$33.1K

$80.3K

$132.2K

How much do data visualization analyst jobs pay per year?

As of Jul 10, 2026, the average yearly pay for data visualization analyst in Raleigh, NC is $80,333.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,800.00 and $94,300.00 per year, depending on experience, location, and employer.

What is a Data Visualization Analyst job?

A Data Visualization Analyst is responsible for transforming complex data sets into clear, engaging visual representations that help stakeholders make data-driven decisions. They use tools like Tableau, Power BI, or Python libraries (Matplotlib, Seaborn) to create charts, graphs, and dashboards. Their role combines data analysis, storytelling, and design principles to present insights effectively. They collaborate with data scientists, business analysts, and decision-makers to ensure data is accurately represented and actionable.

What are the key skills and qualifications needed to thrive in the Data Visualization Analyst position, and why are they important?

To thrive as a Data Visualization Analyst, you need strong analytical skills, experience in data interpretation, and a relevant degree in fields such as statistics, computer science, or information systems. Proficiency with visualization tools like Tableau, Power BI, or D3.js, as well as knowledge of SQL and Excel, is highly valued, and certifications in these platforms can enhance your qualifications. Excellent communication, attention to detail, and a collaborative mindset help you translate complex data into meaningful visual stories for stakeholders. These abilities are essential to ensure data-driven decisions are clearly understood and actionable across various departments.

What are the typical daily responsibilities of a Data Visualization Analyst?

As a Data Visualization Analyst, your day typically involves collecting, cleaning, and organizing data from various sources, followed by designing and creating dashboards or reports that convey insights to both technical and non-technical stakeholders. You’ll collaborate closely with data engineers, business analysts, and department leaders to understand their needs and tailor visualizations accordingly. Regularly, you will review and update dashboards to ensure data accuracy and relevancy, and may also provide training or support to colleagues on interpreting and using visual tools. This role offers a dynamic work environment where problem-solving and creativity are key to turning complex datasets into clear, actionable information.

What are the most commonly searched types of Data Visualization Analyst jobs in Raleigh, NC? The most popular types of Data Visualization Analyst jobs in Raleigh, NC are:
What job categories do people searching Data Visualization Analyst jobs in Raleigh, NC look for? The top searched job categories for Data Visualization Analyst jobs in Raleigh, NC are:
Infographic showing various Data Visualization Analyst job openings in Raleigh, NC as of July 2026, with employment types broken down into 77% Full Time, 8% Part Time, and 15% Contract. Highlights an 61% In-person, 8% Hybrid, and 31% Remote job distribution, with an average salary of $80,333 per year, or $38.6 per hour.
FT Data and Analytics Manager *Repost*

FT Data and Analytics Manager *Repost*

Johnston Community College

Smithfield, NC • On-site, Remote

$67K - $85K/yr

Other

Posted 11 days ago


Job description

Description Summary The Data and Analytics Manager supports the College's mission by transforming institutional data into actionable insights that inform strategic planning, enrollment forecasting, institutional effectiveness, and student success initiatives. This position is responsible for managing and optimizing the College's data warehouse (ZogoTech), conducting advanced statistical analyses and predictive modeling, and supporting internal and external reporting requirements. This position may offer flexibility for a hybrid or remote work arrangement, subject to departmental needs and approval.

Please note that the College does not sponsor employment-based visas. **Candidates who previously applied need not to reapply. ** Knowledge & Responsibilities Essential Duties and Responsibilities include the following.

Other duties may be assigned. Conducts advanced statistical analyses and predictive modeling to support strategic enrollment forecasting, academic scheduling, and resource allocation. Manages and queries the College's data warehouse (ZogoTech) to extract, integrate, and analyze institutional data.

Translates complex analytical findings into clear, actionable insights tailored for stakeholders at all levels. Responds to ad hoc data requests from internal and external stakeholders with accurate, timely, and clearly presented information. Develops, maintains, and automates data reports, dashboards, and visualizations to track institutional key performance indicators.

Collaborates with all college units to align data initiatives with institutional goals. Develops and executes data validation procedures to maintain high-quality data standards and ensure the integrity, consistency, and reliability of institutional data. Extracts, cleans, and prepares data using programming languages such as SQL, Python, or SAS for use in reports, dashboards, and predictive models.

Develops and maintains documentation for data processes, reporting standards, and methodologies to ensure clarity, consistency, and repeatability. Ensures compliance with federal and state reporting requirements, including IPEDS and other mandated submissions. Supports planning and assessment processes, accreditation efforts, and strategic decision-making with high-quality data and analysis.

Assists with designing and administering surveys using platforms such as Qualtrics to gather both qualitative and quantitative data. Stays current with trends in higher education data analytics, strategic enrollment management, and institutional effectiveness. Supervisory Responsibilities This position does not have supervisory responsibilities.

Minimum & Preferred Qualifications Qualifications To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Education Minimum: Bachelor's degree in data analytics, statistics, computer science, educational research, or a related field; or equivalent combination of education and experience. Education Preferred: Master's degree in data analytics, institutional research, statistics, or related discipline. Experience Minimum: Two (2) to five (5) years of demonstrated experience in data analysis, predictive modeling, and/or institutional research, preferably in a higher education setting.

Experience Preferred: Experience with data warehousing systems, student information systems, and survey methodology. Additional Information Language Skills Ability to synthesize and communicate complex data in written, verbal, and graphical formats for diverse stakeholders. Ability to write professional reports, documentation, and data summaries.

Mathematical Skills Proficiency in statistical concepts including regression, correlation, and inferential statistics. Demonstrated ability to apply statistical models to real-world problems in education or related fields. Reasoning Ability Strong problem-solving skills with ability to analyze data trends, evaluate methods, and propose actionable recommendations.

Ability to manage multiple tasks and deadlines in a fast-paced, data-driven environment. Computer Skills Proficient in statistical software and programming languages such as SQL, Python, R, or SAS. Proficient in data visualization platforms (e.g., Tableau, Power BI) and survey tools (e.g., Qualtrics)

Familiarity with Microsoft Office Suite and enterprise systems used in higher education. Certificates, Licenses, Registrations: None Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

While performing the duties of this job, the employee is regularly required to sit, use hands and fingers, and talk or hear. The employee is occasionally required to stand, walk, and reach with hands and arms. Specific vision abilities include close vision and the ability to adjust focus.

Reasonable accommodations may be made. Work Environment The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

The noise level in the work environment is usually quiet.