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

... data-driven decision making. In this role, you will collaborate with colleagues across Academic ... Extract, analyze, and deliver data related to admissions, enrollment, student records, and ...

... data-driven decision making. In this role, you will collaborate with colleagues across Academic ... Extract, analyze, and deliver data related to admissions, enrollment, student records, and ...

Data Analysis Tutor

Raleigh, NC ยท Remote

$18 - $40/hr

... Data Analysis tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... academic success and understanding. All from the comfort of your home. Why Join Our Platform?

Data Analysis Tutor

Durham, NC ยท Remote

$18 - $40/hr

... Data Analysis tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... academic success and understanding. All from the comfort of your home. Why Join Our Platform?

Data Analysis Tutor

Chapel Hill, NC ยท Remote

$18 - $40/hr

... Data Analysis tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... academic success and understanding. All from the comfort of your home. Why Join Our Platform?

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Academic Data Analyst information

See Raleigh, NC salary details

$33.1K

$80.3K

$132.2K

How much do academic data analyst jobs pay per year?

As of Aug 6, 2026, the average yearly pay for academic data 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 does an academic data analyst do?

An Academic Data Analyst is responsible for collecting, analyzing, and interpreting data related to academic institutions, such as student performance, enrollment trends, and faculty research metrics. They use statistical tools and data visualization techniques to provide insights that inform decision-making and improve educational outcomes. Academic Data Analysts often collaborate with administrators, faculty, and IT staff to ensure data accuracy and to support institutional goals.

How does an academic data analyst typically collaborate with faculty and administrative staff to support institutional decision-making?

Academic Data Analysts often work closely with faculty, department heads, and administrative teams to gather requirements, interpret data trends, and provide actionable insights. They may participate in meetings to discuss key metrics on student performance, enrollment, and curriculum effectiveness, translating complex data into understandable reports or visualizations. Effective communication and a collaborative mindset are essential, as analysts bridge the gap between raw data and strategic planning, ensuring stakeholders have the information needed to make informed decisions. This role frequently involves handling multiple projects simultaneously and adapting analyses to the evolving needs of the academic institution.

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

To thrive as an Academic Data Analyst, you need strong analytical skills, proficiency in statistics, and typically a degree in data science, mathematics, or a related field. Familiarity with tools such as Python, R, SQL, and data visualization platforms like Tableau, as well as experience with institutional research databases, is often required. Attention to detail, problem-solving ability, and clear communication skills help translate complex data into actionable insights for academic stakeholders. These skills ensure accurate analysis and effective reporting, supporting data-driven decision-making in educational environments.
What are popular job titles related to Academic Data Analyst jobs in Raleigh, NC? For Academic Data Analyst jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Academic Data Analyst jobs in Raleigh, NC look for? The top searched job categories for Academic Data Analyst jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Academic Data Analyst jobs? Cities near Raleigh, NC with the most Academic Data Analyst job openings:
Infographic showing various Academic Data Analyst job openings in Raleigh, NC as of July 2026, with employment types broken down into 63% Full Time, 35% Part Time, 1% Temporary, and 1% Contract. Highlights an 76% Physical, 1% Hybrid, and 23% Remote job distribution, with an average salary of $80,333 per year, or $38.6 per hour.

FT Data and Analytics Manager *Repost*

Johnston Community College

Smithfield, NC โ€ข On-site, Remote

$67K - $85K/yr

Other

Re-posted 7 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.