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Student Shadow Data Analytics Jobs in Raleigh, NC

Cengage Group

Analytics Architect

Raleigh, NC · On-site

Cengage's portfolio of businesses supports student choice by providing a range of pathways that ... Analyze existing data flows, transformations, and dependencies to support future enhancements ...

NCSU

Data Science Librarian

Raleigh, NC

... 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 ...

Duke University

Coordinator, Student Records

Durham, NC · On-site

Strong analytical skills with experience interpreting academic data, course demand, and enrollment ... Student Progression & Academic Tracking (30%) * Create and maintain degree audits in Stellic for ...

Duke University

Coordinator, Student Records

Durham, NC · On-site

Strong analytical skills with experience interpreting academic data, course demand, and enrollment ... Student Progression & Academic Tracking (30%) * Create and maintain degree audits in Stellic for ...

Varsity Tutors

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 ...

Varsity Tutors

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 ...

Varsity Tutors

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 ...

Duke University

Database Analyst I

Durham, NC

$59K - $104K/yr

Composed of more than 2,600 faculty physicians and researchers, nearly 2,000 students, and more ... clinical analytics. Job Responsibilities: * Data Consolidation & Management: Clean, manage, and ...

Duke University

Database Analyst I

Durham, NC · On-site

$59K - $104K/yr

Composed of more than 2,600 faculty physicians and researchers, nearly 2,000 students, and more ... clinical analytics. Job Responsibilities: * Data Consolidation & Management: Clean, manage, and ...

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All JobsStudent Shadow Data Analytics JobsStudent Shadow Data Analytics Jobs in Raleigh, NC

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 Jul 1, 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.

Do job shadows get paid?

Job shadows, including those in data analytics, are typically unpaid opportunities that allow students to observe professionals and learn about the field. Some organizations may offer stipends or incentives, but most shadowing experiences are voluntary and unpaid. It is important to confirm specific arrangements with the hosting organization.

Is AI replacing data analysts?

AI is automating certain tasks within data analysis, such as data cleaning and basic reporting, but it does not fully replace data analysts. Data analysts, including those in roles like Student Shadow Data Analytics, are needed to interpret complex data, develop insights, and make strategic decisions that require human judgment and domain knowledge. Skills in data visualization, statistical analysis, and tools like Python or R remain essential for these roles.

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.

Is 40 too late for data science?

The Student Shadow Data Analytics role involves learning data analysis skills, which can be pursued at any age. Many professionals successfully transition into data science later in life by gaining relevant skills such as programming, statistics, and tools like Python or SQL, regardless of age.

Does job shadowing mean you got the job?

Job shadowing, such as in a Student Shadow Data Analytics role, is an observational experience that provides insight into the work environment and tasks but does not guarantee employment. It is a learning opportunity and does not imply that a job offer has been made or received.
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
Analytics Architect

Analytics Architect

Cengage Group

Raleigh, NC • On-site

Other

This job post has expired today. Applications are no longer accepted.

Key responsibilities

  • Build and implement analytics solutions to solve complex business challenges.

  • Design, build, and maintain scalable data pipelines for ingestion, transformation, integration, and delivery of structured and unstructured data.

  • Ensure data quality, integrity, governance, and lineage across enterprise data platforms.

Job description

We believe in the power and joy of learning

At Cengage, our employees have a direct impact in helping students around the world discover the power and joy of learning. We are bonded by our shared purpose – driving innovation that helps millions of learners improve their lives and achieve their dreams through education.

Cengage's portfolio of businesses supports student choice by providing a range of pathways that help learners achieve their goals and lead a choice-filled life.

Our culture values inclusion, engagement, and discovery

Our business is driven by our strong culture, and we know that creating an inclusive workplace is absolutely essential to the success of our company and our learners, as well as our individual well-being. We recognize the value of diverse perspectives in everything we do, and strive to ensure employees of all levels and backgrounds feel empowered to voice their ideas and bring their authentic selves to work. We achieve these priorities through programs, benefits, and initiatives that are integrated into the fabric of how we work every day. To learn more, please see https://www.cengagegroup.com/about/inclusion-and-belonging/ .

What you'll do here:

  • Build and implement world-class analytics solutions to solve complex business challenges.

  • Architect and implement modern cloud-based analytics solutions to improve business outcomes.

  • Learn, document, support, and maintain existing enterprise data pipelines and integration frameworks built on Informatica Intelligent Cloud Services (IICS) and Snowflake.

  • Design, build, and implement new scalable data pipelines for ingestion, transformation, integration, and delivery of structured and unstructured data.

  • Analyze existing data flows, transformations, and dependencies to support future enhancements, operational improvements, and production bug fixes.

  • Build and maintain scalable data models supporting downstream analytics and business operations.

  • Ensure data quality, integrity, governance, and lineage across enterprise data platforms.

  • Support data governance initiatives by documenting how datasets are sourced, transformed, integrated, and consumed.

  • Supervise and improve platform reliability, operational efficiency, and pipeline performance.

  • Develop reusable frameworks, standards, and guidelines for enterprise data engineering and architecture.

  • Collaborate with multi-functional teams to support ongoing platform modernization and operational stability.

Skills you will need here:

  • Minimum 10 years of experience in data architecture, data engineering, or enterprise data platform development.

  • Demonstrable experience working as an Analytics / Data Architect or in a similar role.

  • Strong hands-on expertise with Informatica Intelligent Cloud Services (IICS) and Snowflake.

  • Experience building, improving and supporting enterprise data pipelines and cloud based ETL/ELT integration frameworks.

  • Solid understanding of modern cloud data architecture and enterprise data warehousing concepts.

  • Outstanding proficiency in data modeling, SQL, and data warehousing.

  • Strong Python programming skills for automation, scripting, API integration, and data engineering tasks are required.

  • Solid grasp of analytics and data visualization platforms (e.g., Tableau, Power BI).

  • A track record of delivering high-quality, data-driven solutions with minimal oversight.

  • Experience in integrating data from enterprise platforms like S/4HANA & Salesforce.

  • Familiarity with cloud computing platforms and modern data architecture principles.

  • Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent experience.

  • Excellent analytical, problem-solving, and fix capabilities.

  • Strong verbal and written communication skills with the ability to communicate effectively with both technical and business audiences.

Join us at Cengage and be part of a team that is driven to innovate and succeed in transforming education through technology!

Cengage is committed to working with broad talent pools to attract and hire strong and most qualified individuals. Our job applicants are considered regardless of any classification protected by applicable federal, state, provincial or local laws.

Cengage is also committed to providing reasonable accommodations for qualified individuals with disabilities including during our job application process. If you are an applicant with a disability and require reasonable accommodation in our job application process, please contact us at accommodations.ta@cengage.com .

About Cengage

Cengage, a global education technology company serving millions of learners, provides affordable, quality digital products and services that equip students with the skills and competencies needed to be job ready. For more than 100 years, we have enabled the power and joy of learning with trusted, engaging content, and now, integrated digital platforms. We serve the higher education, workforce skills, secondary education, English language teaching and research markets worldwide. Through our scalable technology, including MindTap and Cengage Unlimited, we support all learners who seek to improve their lives and achieve their dreams through education.

Compensation

At Cengage Group, we take great pride in our commitment to providing a comprehensive and rewarding Total Rewards package designed to support and empower our employees. Click here (https://www.cengagegroup.com/news/perspectives/2024/cengage-group-total-rewards-philosophy/) to learn more about our Total Rewards Philosophy .

The full base pay range has been provided for this position. Individual base pay will vary based on work schedule, qualifications, experience, internal equity, and geographic location. Sales roles often incorporate a significant incentive compensation program beyond this base pay range.

$77,100.00 - $123,300.00 USD

Cengage, a global edtech company, supports learners, educators and institutions across more than 100 countries. With products serving nearly 16 million digital users across the Higher Education, School, Work and English Language Learning markets, we’ve built a learning ecosystem that connects education to employment. We combine trusted content, AI-powered insights and scalable digital platforms to power learning for every future and drive meaningful outcomes at every stage of the learning journey.

Warning: Be aware, there has been an increase of targeted recruitment scams perpetrated by bad actors falsely providing job offers on behalf Cengage Group to candidates as a means of obtaining personal information. Note that Cengage will always interview candidates via live in-person meetings, phone calls and video calls before an offer would be extended. Also, be sure to check that communication is coming from an @cengage.com email address.

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