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Internship Data Analytics Graduate Jobs (NOW HIRING)

Hillpointe

Data Analytics Intern

Winter Park, FL · On-site

$20/hr

Data Analytics Intern This is a paid internship offering $20/hour, with hands-on experience in building scalable data systems. The Data Analytics Intern will support our team in building and ...

Hillpointe

Data Analytics Intern

Winter Park, FL · On-site

$20/hr

Data Analytics Intern This is a paid internship offering $20/hour, with hands-on experience in building scalable data systems. The Data Analytics Intern will support our team in building and ...

Hillpointe

Data Analytics Intern

Winter Park, FL · On-site

$20/hr

Data Analytics Intern This is a paid internship offering $20/hour, with hands-on experience in building scalable data systems. The Data Analytics Intern will support our team in building and ...

Veryable, Inc.

Data Analytics Intern

Dallas, TX · On-site

Data Analytics Intern Interested in getting personal insight and experience interning for one of ... This is an unpaid internship that will result in putting a "startup experience" highlight on your ...

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How much do internship data analytics graduate jobs pay per hour?

As of May 28, 2026, the average hourly pay for internship data analytics graduate 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 Internship Data Analytics Graduate, and why are they important?

To thrive as an Internship Data Analytics Graduate, you need a solid understanding of statistics, data analysis, and problem-solving, typically supported by coursework in mathematics, computer science, or related fields. Familiarity with data analytics tools such as Excel, SQL, Python or R, and data visualization platforms like Tableau is commonly expected. Effective communication, attention to detail, and a willingness to learn help interns stand out in collaborative and fast-paced environments. These skills and qualities enable interns to extract meaningful insights from data, contribute to team projects, and support informed decision-making.

What types of projects and responsibilities can I expect during a Data Analytics Graduate Internship?

As a Data Analytics Graduate Intern, you’ll typically work on projects involving data collection, cleaning, and analysis to support business decisions. You may assist in building dashboards, generating reports, and collaborating with senior analysts and cross-functional teams to identify trends and present actionable insights. Expect to use tools like Excel, SQL, and Python or R, and to participate in team meetings where your findings may directly impact ongoing projects. This hands-on experience not only develops your technical skills but also gives you exposure to real-world business challenges and collaborative problem-solving.

What is an Internship Data Analytics Graduate?

An Internship Data Analytics Graduate is a recent graduate or current student who participates in a temporary position focused on analyzing and interpreting data to help organizations make informed decisions. This role typically involves working with data collection, cleaning, and visualization tools, as well as statistical analysis and reporting. Interns in data analytics often gain hands-on experience with software like Excel, SQL, Python, or R, and develop skills that prepare them for full-time roles in data analysis or related fields.

What is the difference between Internship Data Analytics Graduate vs Data Analyst?

AspectInternship Data Analytics GraduateData Analyst
Required CredentialsTypically pursuing or recently completed a degree in data analytics, statistics, or related fieldsBachelor's degree in data science, statistics, or related field; some roles prefer or require certifications
Work EnvironmentInternship setting, often part-time or temporary, focused on learning and support tasksFull-time professional role with independent project responsibilities
Employer & Industry UsageUsed by companies for entry-level training, often in tech, finance, or consulting sectorsEstablished role across industries like finance, healthcare, marketing, and technology

The main difference between an Internship Data Analytics Graduate and a Data Analyst is experience and responsibility level. Internships are designed for students or recent graduates gaining practical skills, while Data Analysts are full-time professionals handling complex data projects independently.

What cities are hiring for Internship Data Analytics Graduate jobs? Cities with the most Internship Data Analytics Graduate job openings:
What are the most commonly searched types of Data Analytics Graduate jobs? The most popular types of Data Analytics Graduate jobs are:
What states have the most Internship Data Analytics Graduate jobs? States with the most job openings for Internship Data Analytics Graduate jobs include:
Internship Data Analytics Graduate jobs near you
Data Analytics Intern

Data Analytics Intern

Hillpointe

Winter Park, FL • On-site

$20/hr

Other

Posted 6 days ago

Job description

Data Analytics Intern

This is a paid internship offering $20/hour, with hands-on experience in building scalable data systems.

The Data Analytics Intern will support our team in building and maintaining the data infrastructure that powers reporting and analytics across the organization. This role offers exposure to database design, data integration, and modern cloud platforms. The ideal candidate is technically curious and passionate about building clean, scalable data systems.

KEY RESPONSIBILITIES

  • Assist in designing and maintaining data models that serve as the foundation for Power BI dashboards and reports
  • Build and optimize semantic models, relationships, and calculated measures to support self-service reporting
  • Write and refine SQL queries to extract, transform, and validate data feeding into reporting layers
  • Support the development of data pipelines that consolidate information from multiple operational systems
  • Respond to ad hoc reporting and data requests from leadership, asset management, operations, and finance teams
  • Perform data quality checks and troubleshoot discrepancies between source systems and reports
  • Assist in building and maintaining Power BI workspaces, datasets, and refresh schedules
  • Research best practices in report performance optimization, data modeling, and platform scalability

QUALIFICATIONS

Required

  • Currently pursuing or recently completed a degree in Computer Science, Data Science, Information Systems, or a related field
  • Experience with SQL and relational database concepts
  • Basic understanding of data modeling principles
  • Familiarity with Power BI or similar visualization tools
  • Strong attention to detail and organizational skills
  • Effective communication skills with the ability to explain data concepts to non-technical audiences
  • Ability to work in a collaborative, fast-paced environment

Preferred

  • Exposure to DAX, Power Query, or semantic model development
  • Familiarity with cloud data platforms or modern analytics tools
  • Basic experience with Python or scripting for data tasks
  • Interest in data warehousing, Lakehouse architecture, or ETL/ELT concepts
  • Prior experience through internships, academic projects, or bootcamps

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