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Data Analytics Student Jobs (NOW HIRING)

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

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

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

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

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

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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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 Intern

Data Analytics Intern

Werfen

Norcross, GA • On-site

Other

This job post has expired today. Applications are no longer accepted.


Werfen rating

8.7

Company rating: 8.7 out of 10

Based on 27 frontline employees who took The Breakroom Quiz


Job description

Introduction

Werfen is a growing, family-owned, innovative company founded in 1966 in Barcelona, Spain. We are a worldwide leader in specialized diagnostics in the areas of Hemostasis, Acute Care Diagnostics, Transfusion, Autoimmunity, and Transplant. Through our Original Equipment Manufacturing (OEM) business line, we research, develop, and manufacture customized assays and biomaterials. We operate directly in 30 countries, and in more than 100 territories through distributors. Our Headquarters and Technology Centers are located in the US and Europe, and our workforce is more than 7,000 strong.

Our success comes from a specific focus in these rapidly evolving diagnostic areas, our commitment to customers, and our dedication to innovation and quality. We're passionate about providing healthcare professionals the most valuable and complete solutions to improve hospital efficiency and enhance patient care.

Overview

Job Summary

We are seeking a highly motivated Data Analytics Scientist/Intern to support the development of innovative In Vitro Diagnostic (IVD) products for the Transfusion technology center. This role will focus on analyzing complex datasets involving assay performance, reagent performance and instrument performance which collectively can be used to generate insights in order to guide product development, and ensuring data integrity throughout the product lifecycle. The ideal candidate will bridge data science and research, contributing to evidence-based decision-making in a regulated environment.

Responsibilities

Key Accountabilities

  • Design, develop, and maintain data analysis tools, process and procedures for R&D projects related to IVD product development.
  • Analyze large-scale datasets (e.g., instrument-generated performance data, clinical data, instrument control data, etc) to identify linkages, trends, patterns, and performance characteristics.
  • Collaborate with cross-functional teams (scientists, engineers, clinicians, regulatory) to define data requirements and success criteria.
  • Perform statistical analyses to support development of IVD systems inclusive of determining validation of sensitivity, specificity, reproducibility, and robustness.
  • Develop and validate algorithms for data interpretation and diagnostic output.
  • Create clear visualizations, dashboards, and reports to communicate findings to technical and non-technical stakeholders.
  • Ensure compliance with regulatory standards (e.g., FDA, ISO 13485) in data handling, documentation, and traceability.
  • Contribute to design verification and validation (V&V) activities and support regulatory submissions.
  • Maintain thorough documentation of methodologies, code, and results in accordance with quality systems.
  • Stay current with advances in data science, bioinformatics, and IVD technologies.

Networking/Key relationships

  • Work closely with key stakeholders across all R&D disciplines as well as clinical operations, quality, regulatory, and instrument service & support.
Qualifications

Minimum Knowledge & Experience required for the position:

  • Master's or PhD student in Data Science, Bioinformatics, Biostatistics, Biomedical Engineering, or related field.
  • Experience working with laboratory instruments or assay development data.
  • Familiarity with cloud platforms (e.g., AWS, Azure) and data engineering workflows.
  • Experience with version control (e.g., Git) and reproducible research practices.

Skills & Capabilities:

  • Strong programming skills in Python and/or R.
  • Experience with statistical modeling, machine learning, and data visualization tools.
  • Familiarity with biological or clinical datasets.
  • Understanding of experimental design and statistical testing methods.
  • Strong problem-solving skills and attention to detail.
  • Excellent written and verbal communication skills.
  • Analytical thinking and scientific rigor
  • Cross-functional collaboration
  • Data storytelling and visualization
  • Quality and compliance mindset
  • Adaptability in a fast-paced R&D environment

Travel requirements:

No travel required

Closing

If you are interested in constantly learning and being challenged on a daily basis we encourage you to submit your resume or CV.

Werfen is an Equal Opportunity employer and is committed to a diverse workplace. Werfen strictly prohibits unlawful discrimination, harassment or retaliation based upon an individual's race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, mental/physical disability, medical condition, marital status, veteran status, or any other protected characteristic as defined by applicable state or federal law. If you have a disability and need an accommodation in relation to the online application process, please contact NAtalentacquisition@werfen.com for assistance.

We operate directly in over 30 countries, and in more than 100 territories through distributors. Annual revenue is approximately $2 billion and more than 7,000 employees around the world comprise our Werfen team.

www.werfen.com

Employment Type: INTERN

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About Werfen

Sourced by ZipRecruiter

Industry

Health care and social assistance

Company size

1,001 - 5,000 Employees

Headquarters location

L'Hospitalet de Llobregat, Barcelona, ES