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Student Shadow Data Analytics Jobs in Raleigh, NC

Sr. Mgr, NGS Programs

Morrisville, NC · On-site

$190K - $210K/yr

Audit the current LCM/Renewal Sales data landscape, assess existing pipeline infrastructure, shadow the current analytics team, and deeply understand cross-functional stakeholder requirements. Days ...

Sr. Mgr, NGS Programs

Morrisville, NC · Hybrid

$190K - $210K/yr

Audit the current LCM/Renewal Sales data landscape, assess existing pipeline infrastructure, shadow the current analytics team, and deeply understand cross-functional stakeholder requirements. Days ...

Student Research Assistant (CYSLE)

Raleigh, NC · On-site

$14.75 - $18.75/hr

Students must participate in training of the statistical and thematic analysis of data. Students should have an interest in cybersecurity and artificial intelligence research. Students may be given ...

... students, faculty, and researchers. The award-winning James B. Hunt Jr. Library on NC State ... creation, data analysis and visualization, and collaboration. Three branch libraries focus on ...

Data Science Tutor

Raleigh, NC · Remote

$18 - $40/hr

Guides students through data cleaning with Pandas, exploratory analysis with visualization libraries, building predictive models, conducting statistical tests, and creating compelling data ...

Data Science Tutor

Chapel Hill, NC · Remote

$18 - $40/hr

Guides students through data cleaning with Pandas, exploratory analysis with visualization libraries, building predictive models, conducting statistical tests, and creating compelling data ...

Data Science Tutor

Durham, NC · Remote

$18 - $40/hr

Guides students through data cleaning with Pandas, exploratory analysis with visualization libraries, building predictive models, conducting statistical tests, and creating compelling data ...

Performs data entry processes including analyzing data for students being served or potentially eligible for entry into WCPSS. Compiles and responds to large data requests from staff. Imports, cleans ...

Performs data entry processes including analyzing data for students being served or potentially eligible for entry into WCPSS. Compiles and responds to large data requests from staff. Imports, cleans ...

Performs data entry processes including analyzing data for students being served or potentially eligible for entry into WCPSS. Compiles and responds to large data requests from staff. Imports, cleans ...

Join our team as a Data Governance Analyst and assist the Data Governance Manager with development ... Student loan matching in our 401(k), and performance-based bonuses. * Professional Development:

Showing results 21-40

Student Shadow Data Analytics information

See Raleigh, NC salary details

$32.1K

$79.2K

$136.1K

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

As of Sep 5, 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 is a 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 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 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.

How to become a student shadow data analyst with no experience free?

To become a student shadow data analyst with no experience, start by learning basic data analysis skills using free online resources such as tutorials on Excel, SQL, and Python. Seek opportunities to observe professionals through internships, volunteering, or mentorship programs, and build a portfolio of simple projects to demonstrate your skills. Gaining familiarity with data visualization tools like Tableau or Power BI can also enhance your prospects.

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 cities near Raleigh, NC are hiring for Student Shadow Data Analytics jobs?

Cities near Raleigh, NC with the most Student Shadow Data Analytics job openings:

Strategic Student Program: AI & Engineering Data Internship (Spring 2027, GSCS)

Siemens

Durham, NC • On-site

$18 - $50/hr

Other

Retirement

Posted 2 days ago

New


Siemens rating

7.7

Company rating: 7.7 out of 10

Based on 100 frontline employees who took The Breakroom Quiz

268th of 453 rated engineering


Job description

Siemens Digital Industries Software

Strategic Student Program (SSP)

Discover your career with us at Siemens Digital Industries Software!

We are a leading global software company dedicated to the world of computer aided design, 3D modeling and simulation- helping innovative global manufacturers design better products, faster! With the resources of a large company, and the energy of a software start-up, we have fun together while creating a world class software portfolio. Our culture encourages creativity, welcomes fresh thinking and focuses on growth, so our people, our business, and our customers can achieve their full potential.

We're currently recruiting co-ops and interns for our Spring 2027 Strategic Student Program. Our opportunities will allow you to find a career path that most inspires you. Here, you will apply your education to solve real-world problems and turn theory into practice. At Siemens, our goal is to empower our students to become the next leaders of our company.

Baseline Program Requirements:

  • Currently enrolled as an undergraduate student at an accredited university
  • Legally authorized to work in the United States without the need for current or future sponsorship by the company
  • A minimum 3.0 GPA

Perks:

  • Employee discounts at our top customer sites
  • Networking with our global leaders
  • Mentorship from senior employees
  • Individual career development planning
  • Professional and technical workshops
  • Paid volunteer time off
  • Energetic student community
  • Leadership opportunities
  • Potential for full-time offers after university graduation and completion of the program

Position Overview:

Siemens Digital Industries Software is seeking an AI & Engineering Data Intern to support emerging Artificial Intelligence and Digital Thread initiatives within the Capital PreSales organization. This role provides hands-on experience applying AI technologies to engineering challenges across aerospace, defense, and automotive industries.

The intern will help create and manage engineering datasets, investigate AI-assisted workflows, and support projects that demonstrate how Digital Threads enable intelligent decision-making throughout the product lifecycle. The role combines engineering, software, data management, and AI technologies to develop innovative customer-facing demonstrations and internal capabilities.

Key Responsibilities:

  • Develop and curate engineering datasets for AI, analytics, and demonstration use cases.
  • Support AI and generative AI proof-of-concepts involving engineering and Digital Thread data.
  • Assist in connecting systems, software, and electrical engineering information into reusable data models.
  • Evaluate and document AI-assisted engineering workflows and use cases.
  • Build dashboards, reports, and visualizations that communicate engineering insights.
  • Support technical enablement activities and customer demonstration development.

Requirements:

  • Pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Artificial
  • Comfortable working in a fully remote environment within the United States of America.
  • Intelligence, Software Engineering, Systems Engineering, or a related discipline.
  • Experience with Python, data analytics, machine learning, or AI technologies.
  • Familiarity with digital engineering, PLM, or engineering data management concepts is a plus.
  • Strong communication, collaboration, and problem-solving skills.
  • Passion for applying emerging technologies to real-world engineering challenges.

#LI-PLM

#LI-Remote

#SWSaaS

You'll Benefit From

The hourly pay range for this position $18 - $50 per hour, based off of your projected graduation year. The actual wage offered may be lower or higher depending on budget and candidate experience, knowledge, skills, qualifications, and premium geographic location. Additionally, interns for Siemens are eligible to contribute into our 401K program.

Equal Employment Opportunity Statement

Siemens is an Equal Opportunity Employer encouraging inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.

EEO is the Law

Applicants and employees are protected from discrimination on the basis of race, color, religion, sex, national origin, or any characteristic protected by Federal or other applicable law.

Reasonable Accommodations

If you require a reasonable accommodation in completing a job application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please fill out the accommodations form by clicking on this link Accommodation for disability form. If you're unable to complete the form, you can reach out to our AskHR team for support at 1-866-743-6367. Please note our AskHR representatives do not have visibility of application or interview status.

Pay Transparency

Siemens follows Pay Transparency laws.

Application Deadline

This role will be posted for a minimum of five (5) days from the original posting date. The posting timeline may change based on applicant volume to ensure we attract and consider a strong and representative candidate pool.

California Privacy Notice

California residents have the right to receive additional notices about their personal information. To learn more, click here.

Criminal History

Qualified applications with arrest or conviction records will be considered for employment in accordance with applicable local and state laws.


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