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Student Shadow Data Analytics Jobs (NOW HIRING)

Miriam Foundation

Admissions Assistant

Saint Louis, MO · On-site

... data in the school's CRM system. Key Responsibilities * Serve as a welcoming first point of contact ... Work with the development and academic teams to schedule campus tours and student shadow visits.

Ohio University

POOL: Data Analytics Instructor

Athens, OH · On-site

$19.75 - $25/hr

Posting Number 20163042F University College offers several courses for students pursuing a successful completion of their degree(s). A few of the courses offered are: 1) Data Analytics courses (DATA ...

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$33K

$81.5K

$140K

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

As of Jun 27, 2026, the average yearly pay for student shadow data analytics in the United States is $81,518.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $96,500.00 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.
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Student Shadow Data Analytics jobs near you
Infographic showing various Student Shadow Data Analytics job openings in the United States as of June 2026, with employment types broken down into 2% Internship, 48% Full Time, 48% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $81,518 per year, or $39.2 per hour.
Student Data Analyst

Student Data Analyst

University of New Mexico

Albuquerque, NM

Other

Posted 3 days ago

University Of New Mexico rating

8.5

Company rating: 8.5 out of 10

Based on 54 frontline employees who took The Breakroom Quiz

68th of 541 rated colleges and universities

Job description

**WE ARE ACCEPTING APPLICATIONS FOR THIS POSITION FROM ALL STUDENTS REGARDLESS OF WORK STUDY AWARD** 

The University of New Mexico's Center for Geospatial and Population Studies (GPS) maintains New Mexico's traffic crash database for the New Mexico Department of Transportation and serves as the New Mexico State Demographer's Office. We assist New Mexico government agencies, lawmakers and the public in making data-driven decisions by providing impartial data and objective analysis. GPS provides UNM students with real-life job skills that will give them a strong, competitive advantage over their peers after graduation.

We are seeking a detail-oriented, self-motivated students from any degree program to contribute their expertise in areas such as data analysis, data entry, verification, geocoding, and publishing of traffic crash data. In addition to providing support and routine maintenance of the traffic crash database, students will have ample opportunities to expand their analysis or programming skills solving real-world problems. GPS is looking to hire entry-level Student Data Analysts and train them in data collection, GIS, and data analysis work using traffic crash data. Whether you are new to programming or just starting your degree, that's okay, as we can provide onsite training in a variety of languages and programs, including SAS, SQL, and VBA, along with statistical data analysis, data processing and integration, trend analysis, data entry and cleaning, GIS services, web mapping, and geospatial analysis.

This position requires an organized individual with a strong initiative to learn, attention to detail, and excellent time management skills. In addition to building a marketable resume other jobs perks include flexible work hours and regular pay increases with marked progress.

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