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Data Analytics Student Jobs (NOW HIRING)

Sr. Data Analyst

Waukesha, WI

$86K - $108K/yr

The Senior Data Analyst is a strategic and technical role within Information Technology responsible ... Experience supporting institutional effectiveness, enrollment analytics, student success, or ...

Sr. Data Analyst

Waukesha, WI · On-site

$86K - $108K/yr

... analytics, student success, or operational reporting initiatives. Technical Skills: • Experience ... data warehousing, ETL/integration processes, or cloud analytics platforms. • Knowledge of data ...

Students need guidance navigating this important time in their life. They need someone who ... Analyze complex data sets to identify patterns and trends that will drive business growth.

Students need guidance navigating this important time in their life. They need someone who ... Analyze complex data sets to identify patterns and trends that will drive business growth.

Students need guidance navigating this important time in their life. They need someone who ... Analyze complex data sets to identify patterns and trends that will drive business growth.

Graduate students obtaining a Master's degree in Data Science, Statistics, Analytics, Mathematics ... or Computer Science or a related STEM field * Expected graduation date of May 2027 * Experience or ...

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

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Data Analytics Student information

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$24

$54

$94

How much do data analytics student jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for data analytics student in the United States is $54.75, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.02 per hour, depending on experience, location, and employer.

Can I become a data analyst with no experience?

Yes, it is possible to become a data analyst with no prior experience by learning relevant skills such as Excel, SQL, and data visualization tools, and pursuing certifications or online courses. Entry-level positions often provide on-the-job training for beginners. Building a strong foundation in data concepts and practical projects can improve your chances of starting a career in data analysis.

What is a Data Analytics Student?

A Data Analytics Student is someone who is actively learning the skills and concepts needed to analyze, interpret, and visualize data. They typically study topics like statistics, programming (often in Python or R), data cleaning, and data visualization. Data Analytics Students often work on real-world projects to gain hands-on experience, preparing them for roles in various industries where data-driven decision-making is important. Their education may take place in a university, college, bootcamp, or self-directed online courses.

What are the key skills and qualifications needed to thrive as a Data Analytics Student, and why are they important?

To thrive as a Data Analytics Student, you need a strong grasp of statistics, mathematical concepts, and foundational programming skills, typically supported by coursework in data analysis or related fields. Familiarity with tools such as Excel, SQL, Python, and data visualization platforms like Tableau is commonly required. Analytical thinking, attention to detail, and a willingness to learn help students excel and adapt quickly to new challenges. These skills and qualities are crucial for effectively interpreting data, drawing meaningful insights, and building a solid base for future analytics roles.

Can ISFJ be a data analyst?

Yes, an ISFJ personality type can be a data analyst, as success in this role depends on skills such as attention to detail, analytical thinking, and proficiency with tools like Excel or SQL. While personality can influence work style, technical skills and education are more critical for performing data analysis effectively.

Is AI replacing data analysts?

AI tools are automating certain data analysis tasks, but data analysts remain essential for interpreting complex data, making strategic decisions, and providing context. The role is evolving to include skills in machine learning, data visualization, and programming, which complement AI capabilities rather than replace them.

What is the difference between Data Analytics Student vs Data Analyst?

AspectData Analytics StudentData Analyst
CredentialsEnrolled in or recently completed relevant coursework or certificationsTypically holds a degree in data-related fields; may have certifications
Work EnvironmentLearning-focused, often in educational or internship settingsProfessional setting, working with real-world data and projects
Employer & Industry UsageEducational institutions, internships, entry-level rolesBusinesses across industries, performing data analysis tasks
Search & Comparison IntentUnderstanding entry points, learning paths, or internship opportunitiesJob responsibilities, skills required, career progression

The main difference between a Data Analytics Student and a Data Analyst is experience and professional status. Students are typically in training or early learning stages, focusing on acquiring skills, while Data Analysts are working professionals applying their knowledge to analyze data and support business decisions.

What is a student data analyst?

A student data analyst is an individual, often a student, who analyzes data to identify trends and support decision-making. They typically use tools like Excel, SQL, or Python and may work on projects related to business, marketing, or research while gaining practical experience in data analysis techniques.

What types of projects or practical experience can a Data Analytics Student expect during their studies or internships?

As a Data Analytics Student, you can typically expect to work on hands-on projects such as analyzing real-world datasets, developing data visualizations, and constructing predictive models using tools like Python, R, or SQL. Many programs and internships emphasize collaborative work, where you'll partner with classmates or team members to solve business problems or optimize processes. These experiences help you build a portfolio that showcases your ability to extract insights from data and communicate findings effectively—valuable skills for landing full-time roles after graduation.
What states have the most Data Analytics Student jobs? States with the most job openings for Data Analytics Student jobs include:
Infographic showing various Data Analytics Student job openings in the United States as of June 2026, with employment types broken down into 3% As Needed, 61% Full Time, 31% Part Time, and 5% Contract. Highlights an 81% Physical, 1% Hybrid, and 18% Remote job distribution, with an average salary of $113,873 per year, or $54.7 per hour.
Data Analytics - Student Assistant

Data Analytics - Student Assistant

University of Montevallo

Montevallo, AL • On-site

$12 - $18/hr

Part-time

Posted 5 hours ago


Job description

Posting Details
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Position Information
Posting Number
Job Title
Data Analytics - Student Assistant
Department
Stephens College of Business
Rate of Pay
$12.00 - $18.00
FLSA
Non-Exempt
Estimated Number of Hours Per Week
10-12
Employment Status
Part Time Temporary
Student Appointment Type
Jobship
General Description
Join a pioneering experiential learning initiative designed to solve real-world challenges for our community and campus partners. This project provides students in data-focused fields with a unique opportunity to apply their classroom knowledge to impactful projects, develop in-demand professional skills, and build a powerful portfolio. You will be hired as a Student Data Analyst and matched to a specific project based on your skills and interests, working with community partners.
Pay Rate: $12 - $18 per hour
Duration: 34 weeks (Academic Year: Fall and Spring Semesters)
Hours: 10-12 hours per week
Location: Stephens College of Business
Supervisor: Dr. Shafqat Ali Shad & Dr. Carolyn Garrity
Essential Job Duties
As a Student Data Analyst, you will be responsible for a full analytics lifecycle on a dedicated project. Your duties will include:
  • Collaboration: Meeting with a community or campus partner to understand their business challenges and data needs.
  • Data Wrangling: Identifying, collecting, cleaning, and managing data from various primary and secondary sources.
  • Analysis & Modeling: Performing statistical analysis, identifying trends, and building models to generate actionable insights.
  • Data Visualization: Creating clear and compelling charts, graphs, and interactive dashboards (using tools like Tableau, Power BI, or Excel) to communicate findings.
  • Storytelling: Synthesizing your analysis into formal reports and presentations to provide data-driven recommendations to stakeholders.
  • Project Management: Managing your time effectively to meet project milestones and deadlines.

Education and Experience
Current UM students Major/Minor in Data Analytics or Minor in Cybersecurity or Business Major who already completed QM237 & QM238
Skills, Knowledge, and Abilities
Required Skills & Knowledge
  • Successful completion of introductory courses in data, statistics, or programming.
  • Proficiency with Microsoft Excel for data analysis (e.g., PivotTables, formulas). and Python
  • Strong intellectual curiosity, problem-solving skills, and a desire to learn.
  • Excellent written and verbal communication skills.
  • Ability to work independently and manage time effectively across a long-term project.

Preferred Skills & Knowledge
  • Experience with one or more of the following: SQL, Python, R, Tableau, Power BI, or Google Analytics.
  • Experience working on a team-based project (academic or professional).
  • A strong academic record.

Preferred Major
Data Analytics, Cybersecurity, or Marketing
Licenses, Certification or Registrations
None Required
Number of Vacancies
4
Desired Start Date
09/19/2025
Open Date
09/19/2025
Close Date
Open Until Filled
Yes
Additional Statement
The University of Montevallo does not discriminate against job applicants based on their national origin or citizenship or immigration status. Because of the costs associated with visa sponsorship/transfer, the University typically will not sponsor applicants for a work visa or transfer of an existing visa. No commitment for visa assistance and/or sponsorship can be made until a thorough search is conducted, including a proper and methodical review of all applicants.
EEO Statement
UM is an Equal Employment Opportunity Institution