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Student Shadow Data Analytics Jobs in Raleigh, NC

Duke University

NONDUKE STUDENT/INTERN

Durham, NC · On-site

You will contribute to research, data analysis, and communications efforts that advance impact ... students eager to explore applied research, data science, evaluation, design, and community ...

Duke University

NONDUKE STUDENT/INTERN

Durham, NC · On-site

You will contribute to research, data analysis, and communications efforts that advance impact ... students eager to explore applied research, data science, evaluation, design, and community ...

Varsity Tutors

Business Analytics Tutor

Durham, NC · Remote

$40/hr

Guides students through cleaning and preparing data sets, building predictive models, creating meaningful dashboards, interpreting analytics output for business stakeholders, and making data-driven ...

Varsity Tutors

Business Analytics Tutor

Raleigh, NC · Remote

$40/hr

Guides students through cleaning and preparing data sets, building predictive models, creating meaningful dashboards, interpreting analytics output for business stakeholders, and making data-driven ...

Varsity Tutors

Business Analytics Tutor

Chapel Hill, NC · Remote

$40/hr

Guides students through cleaning and preparing data sets, building predictive models, creating meaningful dashboards, interpreting analytics output for business stakeholders, and making data-driven ...

ABS Kids

Student Analyst ($1,000 Bonus)

Raleigh, NC

As a Student Analyst with ABS Kids you will receive support through coursework, assist with hours ... Collect and record data on client behavior and progress * Provide one-on-one support to clients ...

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$32.1K

$79.2K

$136.1K

How much do student shadow data analytics jobs pay per year?

As of Jun 11, 2026, the average yearly pay for student shadow data analytics in Raleigh, NC is $79,242.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,800.00 and $93,800.00 per year, depending on experience, location, and employer.

What are Student Shadow Data Analytics?

Student Shadow Data Analytics refers to the process of collecting and analyzing data about students as they are observed or 'shadowed' through their daily academic activities. This analysis helps educators and administrators understand student behaviors, learning patterns, and engagement levels. Insights from this data can be used to improve teaching strategies, personalize learning experiences, and identify areas where students may need additional support. Student shadowing combined with data analytics provides a comprehensive view of the student experience in educational settings.

What types of projects or tasks can I expect to work on as a Student Shadow in Data Analytics?

As a Student Shadow in Data Analytics, you will typically observe and assist with projects such as data collection, cleaning, and visualization. You might help analyze datasets to uncover trends or support team members in preparing reports and presentations for stakeholders. This role often involves collaborating closely with experienced data analysts and learning how to use industry-standard tools like Excel, SQL, or Python. It's a great opportunity to see how real-world business problems are solved using data-driven approaches.

What is the difference between Student Shadow Data Analytics vs Data Analyst?

AspectStudent Shadow Data AnalyticsData Analyst
Required CredentialsTypically enrolled in a related degree program, no formal certification requiredBachelor's degree in data science, statistics, or related field; certifications like SQL or Tableau often preferred
Work EnvironmentObservational role, often unpaid or internship-based, in educational or entry-level settingsFull-time professional role in corporate, finance, healthcare, or tech industries
Employer & Industry UsageEducational institutions, internships, entry-level projectsBusinesses, consulting firms, government agencies
Common Search & ComparisonYesYes

The main difference between Student Shadow Data Analytics and Data Analyst lies in experience, credentials, and work environment. Student Shadow roles are typically observational or internship-based, focusing on learning, while Data Analysts are full-time professionals performing data analysis tasks in various industries.

What are the key skills and qualifications needed to thrive as a Student Shadow in Data Analytics, and why are they important?

To thrive as a Student Shadow in Data Analytics, you should have a foundational understanding of statistics, data interpretation, and basic programming, often gained through coursework or related academic projects. Familiarity with tools such as Microsoft Excel, SQL, and introductory data visualization software (like Tableau or Power BI) is typically expected. Eagerness to learn, attention to detail, and strong communication skills help you stand out in this observational and learning-focused role. These skills are crucial because they enable you to quickly absorb complex concepts, contribute to discussions, and make the most of your shadowing experience in a real-world data analytics environment.
What are popular job titles related to Student Shadow Data Analytics jobs in Raleigh, NC? For Student Shadow Data Analytics jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Student Shadow Data Analytics jobs in Raleigh, NC look for? The top searched job categories for Student Shadow Data Analytics jobs in Raleigh, NC are:
Student Shadow Data Analytics jobs near you

Benefits Systems Analyst (AI / ServiceNow)

The University Of North Carolina System

Raleigh, NC • On-site

Other

Posted 29 days ago

Job description

The Benefits Systems Analyst supports the administration, accuracy, and optimization of employee benefits programs across the University of North Carolina System. This position serves as the functional subject-matter expert for benefits-related processes within the institution's HRIS (e.g., Banner, PeopleSoft, or other UNC System platforms), benefits enrollment platforms, and case management system, ensuring compliance with UNC System Office policies, State of North Carolina regulations, and federal requirements. The role is critical in supporting faculty, EHRA non-faculty, SHRA staff, temporary employees, and graduate assistants across a complex higher-education environment.

The Benefits Systems Analyst is responsible for supporting and maintaining the Benefits Services Center operating systems, ensuring accurate administration of benefit programs and compliance with regulatory requirements. This role serves as the functional expert for building benefits modules within the technology-based platforms (e.g. Service Now) and oversees system configuration, data integrity, data analytics reporting and analysis, and integrations with external benefit providers.

The position analyzes, designs, and implements system processes to support the BSC's administration of medical, supplemental health, retirement, well-being programs, special leaves, and other benefit programs for faculty, staff, and student employees. The Benefits Systems Analyst conducts routine audits, manages electronic data interfaces, coordinates and assists with open enrollment system activities, and provides advanced troubleshooting for system and data issues. The position collaborates closely with internal and external stakeholders and vendors to optimize system performance, resolve discrepancies, and enhance user experience in ServiceNow.

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