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Data Analytics Student Jobs (NOW HIRING)

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

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 ...

... student loans, to buying a home and starting a small business. dv01's data analytics platform ... brings unparalleled transparency into investment performance and risk for lenders and Wall Street ...

Data Analytics Consultant

New York, NY · On-site

$65K - $108K/yr

As a Consultant you will have the daily responsibility to analyze client data and generate project ... Student Loan PayDown * Tuition Reimbursement, Personal Development & Learning Opportunities

Data Analytics Consultant

Boston, MA · On-site

$65K - $108K/yr

As a Consultant you will have the daily responsibility to analyze client data and generate project ... Student Loan PayDown * Tuition Reimbursement, Personal Development & Learning Opportunities

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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 16, 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.

Intern - Business Data Analytics

Munich Re

Dallas, TX • On-site

Other

Posted 28 days ago


Job description

Empower yourself!  Start building your career with a national industry leader!


Why intern at HSB? At Hartford Steam Boiler (HSB), a Munich Re company, you will learn what it is like to pursue a career at one of the world's largest reinsurance companies.
HSB's 11-week Summer Internship Program provides a well-rounded, engaging and enjoyable experience.  Below are some of the key experiences and benefits you can expect.
Program Highlights

  • Gain hands on experience.
  • Meet and gain insights from the Senior Leadership Team as well as other leaders and professionals in the organization to develop lasting professional relationships.
  • Networking opportunities.
  • Hybrid work schedule to include working on-site in the office and working from home.    
  • Participate in community outreach.
  • Opportunity to gain career advice and help you prepare for navigating your career search.
  • Learn about great careers within the insurance and the impact they make.
  • Potential full-time career opportunities after graduation.

As a valued intern within our team you will have the opportunity for frequent interaction across multiple functions of the organization and gain real life experience and perform meaningful work that will prepare you for the right start to your career! 

Business Data Analytics Intern

  • This role is intended for a graduate-level intern, not an undergraduate, due to the analytical depth, data sensitivity, and stakeholder exposure involved
  • Intern will work on production-adjacent datasets and deliver outputs that directly inform business and product decisions
  • Internship provides meaningful, resume-grade deliverables rather than exploratory or academic work

Requirements

  • Proficiency in SQL for analytical queries, joins, aggregation, and implementing KPI reporting
  • Working knowledge of data analysis tools such as Python, R, or similar
  • Familiarity with ETL/ELT pipelines and data warehouses (e.g. Snowflake, BigQuery)
  • Exposure to BI / dashboarding tools (e.g., Tableau, Power BI, Looker)
  • Ability to organize, analyze, and summarize datasets with strong attention to detail
  • Graduate student (Master's or PhD) in:
    • Data Analytics
    • Business Analytics
    • Statistics
    • Information Systems
    • Applied Mathematics
    • Computer Science (analytics or data-focused track)

(Graduate-level coursework preferred due to complexity and autonomy of work.)

 

Responsibilities

  • Design and build initial analytical dashboards to support product and services decision-making
  • Build basic ETL pipelines to aggregate data into a warehouse for analysis and dashboards
  • Analyze large datasets related to customer usage, risk signals, and operational performance
  • Develop repeatable reporting frameworks (KPIs, trend analysis, cohort analysis) to replace manual processes
  • Collaborate with stakeholders on data requirements, validations, documentations, and insights
  • Produce executive-ready summaries and visualizations translating data into actionable insights

At The Hartford Steam Boiler, a subsidiary of Munich Re, we see Diversity and Inclusion as a solution to the challenges and opportunities all around us. Our goal is to foster an inclusive culture and build a workforce that reflects the customers we serve and the communities in which we live and work. We strive to provide a workplace where all of our colleagues feel respected, valued and empowered to achieve their very best every day. We recruit and develop talent with a focus on providing our customers the most innovative products and services.   
We are an equal opportunity employer. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

We are an equal opportunity employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.  The work environment characteristics, and any physical and mental requirements described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee.  Other duties, responsibilities and activities may change or be assigned at any time with or without notice.