2

Entry Level Data Analyst Intern Jobs (NOW HIRING)

RWD Data Analyst Intern

Dallas, TX ยท On-site

$25 - $35/hr

Role Summary Loopback Health is hiring an innovative and team-oriented RWD Data Analyst intern who will work closely with Loopback Real World Data and Data Operations teams. This position will give ...

Role Summary Loopback Health is hiring an innovative and team-oriented RWD Data Analyst intern who will work closely with Loopback Real World Data and Data Operations teams. This position will give ...

Altair Data Resources is seeking an entry-level Data Analyst who is looking for an opportunity to work in an entrepreneurial, high-growth, enthusiastic environment. You will gain significant ...

We are looking for a GTM Data Analyst Intern to join our Go-To-Market (GTM) Analytics team. In this role, you will work at the intersection of business and data, supporting critical initiatives that ...

You will be at the forefront of helping businesses transform their cloud, data, AI, cybersecurity ... Core Business Analysis Skills (Entry-Level) * Participate in process mapping sessions to visualize ...

GTM Data Analyst Intern

Oakland, CA ยท On-site

$31 - $44/hr

We are looking for a GTM Data Analyst Intern to join our Go-To-Market (GTM) Analytics team. In this role, you will work at the intersection of business and data, supporting critical initiatives that ...

Role Overview The Data Analytics Intern will work closely with the Operations Team to support forecasting program details, mining data, and developing KPIs that drive operational effectiveness. This ...

Role Overview The Data Analytics Intern will work closely with the Operations Team to support forecasting program details, mining data, and developing KPIs that drive operational effectiveness. This ...

next page

Showing results 1-20

Entry Level Data Analyst Intern information

See salary details

$12

$22

$42

How much do entry level data analyst intern jobs pay per hour?

As of May 30, 2026, the average hourly pay for entry level data analyst intern in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Entry Level Data Analyst Intern, and why are they important?

To thrive as an Entry Level Data Analyst Intern, you need foundational skills in statistics, data interpretation, and proficiency in Microsoft Excel, often supported by coursework or a degree in mathematics, statistics, or a related field. Familiarity with data visualization tools like Tableau, programming languages such as Python or R, and basic knowledge of SQL databases are commonly expected. Strong analytical thinking, attention to detail, and effective communication help you deliver clear insights and collaborate with team members. These skills ensure you can accurately gather, analyze, and present data to support decision-making within an organization.

What types of projects and tasks can I expect to work on as an Entry Level Data Analyst Intern?

As an Entry Level Data Analyst Intern, you'll typically support the analytics team by cleaning and organizing raw data, assisting in generating reports, and creating basic visualizations using tools like Excel, Tableau, or Power BI. You may also help with data validation, conduct exploratory data analysis, and participate in team meetings to discuss findings. This hands-on experience will give you exposure to real-world datasets and allow you to collaborate closely with experienced analysts and business stakeholders, helping you build foundational skills for a data-driven career.

What does an Entry Level Data Analyst Intern do?

An Entry Level Data Analyst Intern assists with collecting, cleaning, and analyzing data to help organizations make informed decisions. They typically work under the supervision of experienced data analysts, using tools like Excel, SQL, or Python to organize and visualize data. Interns may also help prepare reports and presentations, gaining hands-on experience with real-world datasets and learning essential analytical skills.

What is the difference between Entry Level Data Analyst Intern vs Data Analyst?

AspectEntry Level Data Analyst InternData Analyst
Required CredentialsTypically pursuing or recent graduate with a degree in data science, statistics, or related fieldBachelor's degree in data-related field; some roles prefer or require additional certifications or experience
Work EnvironmentInternship setting, often part-time or temporary, in corporate or tech companiesFull-time professional role in various industries, including finance, healthcare, and tech
Employer & Industry UsageUsed by companies for entry-level training and talent pipelineEstablished role for analyzing data, generating reports, and supporting decision-making

The main difference is that an Entry Level Data Analyst Intern is a temporary, learning-focused position often held by students or recent graduates, while a Data Analyst is a full-time professional role requiring more experience and responsibility. Internships serve as a stepping stone into the data analysis career path, whereas Data Analysts are expected to independently handle data projects and contribute to organizational goals.

More about Entry Level Data Analyst Intern jobs
What cities are hiring for Entry Level Data Analyst Intern jobs? Cities with the most Entry Level Data Analyst Intern job openings:
What states have the most Entry Level Data Analyst Intern jobs? States with the most job openings for Entry Level Data Analyst Intern jobs include:

RWD Data Analyst Intern

Loopback LLC

Dallas, TX โ€ข On-site

$25 - $35/hr

Part-time

Posted 26 days ago


Job description

This employer will not sponsor applicants for employment visa status (e.g., H1-B) for this position. All applicants must be currently authorized to work in the United States on a full-time basis.
Role Summary
Loopback Health is hiring an innovative and team-oriented RWD Data Analyst intern who will work closely with Loopback Real World Data and Data Operations teams. This position will give exposure to how healthcare data is used to support clinical research across various Life Sciences stakeholders, including pharmaceuticals, medical device, and regulatory functions. This semester-long, paid internship (20+ hours/week) with flexible scheduling, offering hands-on experience alongside senior analysts in a collaborative remote/hybrid environment based in Dallas. Provides strong mentorship, professional development, and potential for extension, with a proven track record of converting interns into full-time contributors.
Key Responsibilities:
Data Analysis & Solution Development
  • Analyze Loopback's large-scale healthcare data warehouse (claims, EHR, pharmacy, etc.) to support answering clinical research feasibility questions across various therapy areas.
  • Assist in developing reporting tools that help non-technical stakeholders understand the data asset.
  • Synthesize and communicate analytical findings to team members.

Cross-Functional Collaboration & Continuous Improvement
  • Collaborate with Sales, Client Success, Product, and Operations teams to improve data quality, documentation, and product features.
  • Gather and document customer feedback to inform future data product development.

Qualifications
Required:
  • Bachelor's degree (completed or working towards) in a quantitative or life sciences field (e.g., Statistics, Bioinformatics, Epidemiology, Computer Science, Pharmacy, Public Health, or related).
  • Exposure to SQL and at least one scripting/statistical language (Python, R).
  • Exceptional problem-solving skills with the ability to break down ambiguous client questions into actionable analyses.
  • Strong communication skills, both verbal and written, with an ability to explain complex data concepts to non-technical audiences.
  • Comfortable working in a fast-paced, cross-functional team environment.

Soft Skills
  • Data-driven and analytically rigorous, with a focus on delivering client value.
  • Creative, resourceful, and comfortable with ambiguity.
  • Strong collaborator who thrives in a team-oriented, rapidly evolving environment.
  • Interest in using AI-assisted tools for data analysis, coding, or workflow efficiency

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or national origin.