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Student Shadow Data Analytics Jobs (NOW HIRING)

Experience in quantitative analysis of microdata (aka person-level data) related to economic ... Compensation and Benefits The hourly range is $18 for undergraduates, $21 for graduate students ...

Master's or PhD student in Data Science, Bioinformatics, Biostatistics, Biomedical Engineering, or ... Analytical thinking and scientific rigor * Cross-functional collaboration * Data storytelling and ...

Data Analytics Manager

New York, NY · On-site

$110K - $125K/yr

Data Analytics Manager Location : New York City | Hybrid About the Role SS&C is leading the way. We ... From college students to seasoned and experienced professionals, we encourage you to apply. SS&C ...

Master's or PhD student in Data Science, Bioinformatics, Biostatistics, Biomedical Engineering, or ... Analytical thinking and scientific rigor * Cross-functional collaboration * Data storytelling and ...

Master's or PhD student in Data Science, Bioinformatics, Biostatistics, Biomedical Engineering, or ... Analytical thinking and scientific rigor * Cross-functional collaboration * Data storytelling and ...

Data Analytics Manager

New York, NY · On-site

$110K - $125K/yr

Data Analytics Manager Location : New York City | Hybrid About the Role SS&C is leading the way. We ... From college students to seasoned and experienced professionals, we encourage you to apply. SS&C ...

Master's or PhD student in Data Science, Bioinformatics, Biostatistics, Biomedical Engineering, or ... Analytical thinking and scientific rigor * Cross-functional collaboration * Data storytelling and ...

Master's or PhD student in Data Science, Bioinformatics, Biostatistics, Biomedical Engineering, or ... Analytical thinking and scientific rigor * Cross-functional collaboration * Data storytelling and ...

... Data Analytics Manager in maintaining our reporting ecosystems. This is an ideal role for an ... shadow accounting" disputes. * Quota Management: Maintain up-to-date records of sales quotas ...

... analytical engine for Student Success Center operations at Risepoint. By translating complex operational needs into clear analytical questions and surfacing actionable insights, this role drives data ...

Graduate student (Master's or PhD) in: * Data Analytics * Business Analytics * Statistics * Information Systems * Applied Mathematics * Computer Science (analytics or data-focused track) (Graduate ...

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Student Shadow Data Analytics information

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$33K

$81.5K

$140K

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

As of Jun 5, 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.

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.
More about Student Shadow Data Analytics jobs
What cities are hiring for Student Shadow Data Analytics jobs? Cities with the most Student Shadow Data Analytics job openings:
What states have the most Student Shadow Data Analytics jobs? States with the most job openings for Student Shadow Data Analytics jobs include:
Data Analytics Intern

Data Analytics Intern

AARP

Washington, DC • On-site

$28/hr

Internship

Posted 24 days ago


AARP rating

7.9

Company rating: 7.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

109th of 676 rated non-profit organizations


Job description

Overview
AARP Foundation is the nation's leading organization serving the 39 million older adults living in poverty or one life event away from slipping into it. Our mission is to strengthen financial resilience for and with older adults by empowering individuals and improving systems. We do this by creating pathways to quality employment, removing barriers to benefits, and promoting equitable access to essential goods and services. To learn more, visit aarpfoundation.org or follow @AARPFoundation on social media.
Are you passionate about using research and data to inform strategy and decision-making that will yield tangible social impact? Come join us at the AARP Foundation's Impact Analytics research team! Through this internship, you'll gain valuable experience in a fast-paced and collaborative environment supporting the Foundation's mission to strengthen financial reliance for and with older adults. We'll challenge you to think and work creatively on real-world projects that support our broader organizational efforts to make summary-level data more timely and easier to use for our internal stakeholders. We are committed to your growth and cultivating your continued learning and development. This paid internship is scheduled to begin in July 2026 and extend into the Fall 2026 semester, with the possibility of extension for additional semesters.
Responsibilities
  • Assist with updates to Total Addressable Market (TAM) reports when new federal government microdata files are released, including production and validation of summary tables. The tables provide summary-level (or aggregate) data on key trends in employment, access to public benefits, and financial well-being of the U.S. older adult with low income (LI50+) population at the summary or aggregate level
  • Support the development of state-level data tables with information on older adults with low income (LI50+), working with existing datasets and documentation.
  • Help respond to ad-hoc LI50+ data requests (e.g., requests from the Foundation President's Office or other Foundation stakeholders) by preparing accurate and timely data extracts and summaries
  • Prepare and format data tables for publication on an internal AARP Foundation site, ensuring consistency, clarity, and usability for a range of AARP Foundation stakeholders
  • Assist with the development of tools and approaches to automate analysis and presentation of data, including generative AI
  • Conduct quality control of written products, ensuring that estimates in written reports in presentations match the underlying data

Qualifications
  • Applicants must be currently enrolled as an undergraduate senior (including rising seniors), or as a master's, or doctoral student in applied data science, economics, public policy, demography, or a related field, and remain academically enrolled throughout the internship
  • Experience in quantitative analysis of microdata (aka person-level data) related to economic, social, or demographic trends affecting the well-being of large and diverse populations
  • Familiarity with statistical software or programming languages (e.g., R, Python, SPSS, etc.), and data visualization tools (e.g., Tableau, Power BI, etc.)
  • Excellent written and verbal communication skills
  • Ability to work independently, manage time effectively, and prioritize tasks
  • Strong attention to detail and organizational skills

AARP will not sponsor an employment visa for this position at this time.
Additional Requirements
  • Regular and reliable job attendance
  • Exhibit respect and understanding of others to maintain professional relationships
  • In office/open office environment with the ability to work effectively surrounded by moderate noise

Hybrid Work Environment
AARP observes Mondays and Fridays as remote workdays, except for essential functions. Remote work can only be done within the United States and its territories.
Compensation and Benefits
The hourly range is $18 for undergraduates, $21 for graduate students, and $28 for Ph.D. candidates. Internships are non-exempt positions and are not eligible for employee benefits.
Equal Employment Opportunity
AARP is an equal opportunity employer committed to hiring a diverse workforce and sustaining an inclusive culture. AARP does not discriminate on the basis of race, ethnicity, religion, sex, color, national origin, age, sexual orientation, gender identity or expression, mental or physical disability, genetic information, veteran status, or on any other basis prohibited by applicable law.