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Hourly Data Analyst Student Jobs (NOW HIRING)

GW Student

Position Title Student Data Analyst III_On-Campus FWS Level of Support Student Support III Position Type On-Campus FWS Number of Openings 1 Work Hours During Standard Business Hours (M-F 8am-5pm ...

KIPP Metro Atlanta Schools

Data Analyst

Atlanta, GA · On-site

$75K - $112K/yr

Conduct descriptive and predictive analytical work on outputs from KIPP Atlanta's student information system, student assessments, teacher evaluations, and other organizational data platforms

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How much do hourly data analyst student jobs pay per year?

As of Jul 23, 2026, the average yearly pay for hourly data analyst student in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What kinds of projects and tasks can an Hourly Data Analyst Student expect to work on, and how do these contribute to their learning and career development?

As an Hourly Data Analyst Student, you will typically assist with data collection, cleaning, and basic analysis tasks under the supervision of experienced analysts. Projects may include preparing reports, visualizing data trends, and supporting ongoing research or business initiatives. This hands-on experience not only helps you develop technical skills in tools like Excel, SQL, or Python, but also exposes you to collaborative problem-solving and real-world business questions. The role is a valuable stepping stone, offering mentorship and insights into data analytics careers while allowing you to apply classroom knowledge in a professional setting.

What is the difference between Hourly Data Analyst Student vs Part-Time Data Analyst?

AspectHourly Data Analyst StudentPart-Time Data Analyst
CredentialsEnrolled in relevant coursework or degree programRelevant degree or certification, some experience preferred
Work EnvironmentTypically academic or internship setting, flexible hoursProfessional office or remote, regular part-time hours
Employer & IndustryEducational institutions, internships, or entry-level rolesBusinesses, consulting firms, or industry-specific companies
Search & Comparison IntentUnderstanding student roles vs professional rolesClarifying job expectations and requirements

The main difference between an Hourly Data Analyst Student and a Part-Time Data Analyst lies in their experience and employment status. Students are often enrolled in relevant programs and may work as interns or in academic settings, while part-time analysts are typically employed in professional environments with some prior experience. Both roles involve data analysis tasks but differ in responsibilities, work environment, and expectations.

What are Hourly Data Analyst Students?

Hourly Data Analyst Students are typically university or college students who work part-time, often on an hourly basis, to support organizations with data analysis tasks. They assist in collecting, cleaning, and interpreting data to help inform business decisions or research projects. These students gain practical experience while applying techniques learned in their coursework, such as statistical analysis, data visualization, and using tools like Excel, Python, or R. The role is often flexible to accommodate students' academic schedules and helps them build valuable skills for future data-related careers.

What are the key skills and qualifications needed to thrive as an Hourly Data Analyst Student, and why are they important?

To thrive as an Hourly Data Analyst Student, you need a solid grasp of statistics, data analysis, and foundational knowledge in computer science or a related field, often supported by current enrollment in a relevant academic program. Familiarity with tools such as Excel, SQL, Python, and data visualization platforms like Tableau or Power BI is typically required. Strong attention to detail, critical thinking, and effective communication skills help you interpret data accurately and share insights with team members. These skills ensure that you can efficiently support data-driven decisions and contribute meaningful insights to projects while balancing academic commitments.
What cities are hiring for Hourly Data Analyst Student jobs? Cities with the most Hourly Data Analyst Student job openings:
What are the most commonly searched types of Data Analyst Student jobs? The most popular types of Data Analyst Student jobs are:
What states have the most Hourly Data Analyst Student jobs? States with the most job openings for Hourly Data Analyst Student jobs include:
Hourly Data Analyst Student jobs near you
Hourly Data Analyst

Hourly Data Analyst

New Jersey Institute of Technology

Newark, NJ • On-site

$15.92 - $20/hr

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Title:
Hourly Data Analyst
Department:
Computer Science
Reports To:
Distinguished Professor, Computer Science
Position Type:
Staff
Position Summary:
The Hourly Data Analyst will support an NIH R15-funded biomedical research project under the supervision of Dr. Zhi Wei. The position is intended to provide meaningful undergraduate research experience in biomedical data science, computational biology, and bioinformatics while contributing to approved project aims. The intern will assist with literature review, biological information curation, data analysis, implementation and testing of computational methods ,and preparation of research summaries or presentations.
Essential Functions:
- Conduct literature review related to biomedical data science, computational biology, bioinformatics, and relevant biological background information.
- Collect, organize, and curate prior biological information and publicly available biomedical data relevant to the project.
- Implement, test, and document basic core functions of proposed computational methods under supervision.
- Run baseline methods, software tools, and computational experiments as directed by the supervisor or graduate mentor.
- Assist with simulation of synthetic data and collection, processing, and analysis of real data.
- Contribute to the development and testing of user-friendly research software, scripts, notebooks, or documentation.
- Participate in regular research meetings, provide progress updates, and receive guidance from the PI, co-investigator, and graduate mentor.
- Help prepare research summaries, figures, reports, posters, presentations, or other materials related to the project.
Prerequisite Qualifications:
- Current undergraduate student in computer science, data science, bioinformatics, biology, mathematics, statistics, engineering, or a related field.
- Interest in biomedical research, computational biology, bioinformatics, machine learning, data science, or related areas.
- Ability to work responsibly under supervision, communicate progress, and meet agreed-upon deadlines.
- Strong attention to detail and willingness to learn new scientific and computational concepts.
- At the university's discretion, the education and experience prerequisites may be exempted where the candidate can demonstrate to the satisfaction of the university, an equivalent combination of education and experience specifically preparing the candidate for success in the position.
Preferred Qualifications:
- Prior coursework or experience in programming, data analysis, algorithms, statistics, machine learning, biology, genetics, genomics, or bioinformatics.
- Experience with Python, R, Linux/command line, Git/GitHub, Jupyter notebooks, or similar tools is helpful but not required.
- Prior research experience is helpful but not required.
Salary Information:
In compliance with the NJ Pay Transparency Law, the hourly rate/range for this position is $15.92-$20.00 (USD). NJIT considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer. This pay range represents base pay only and excludes any additional items such as incentives, bonuses or other items.
FLSA:
Non-Exempt
Part-Time

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