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Data Analysis Internship Jobs in Raleigh, NC (NOW HIRING)

Familiarity with requirements gathering, documentation, or systems analysis concepts (academic or internship experience) * Foundational awareness of data concepts (e.g., data flows, data validation ...

... analysis of monthly commission payments * Ensure accuracy and integrity across compensation data ... Relevant internship experience or 1-3 years of experience in an analytical / financial role

... analysis of monthly commission payments * Ensure accuracy and integrity across compensation data ... Relevant internship experience or 1-3 years of experience in an analytical / financial role

It provides employment training, internships, and apprenticeship opportunities at over 3,000 public ... data analysis and manuscript writing/presentations. The goal for our SkillBridge team member is to ...

It providesemployment training, internships, and apprenticeship opportunitiesat over 3,000 public ... data analysis andmanuscript writing/presentations. The goal for our SkillBridge team member is to ...

... analysis. * Stay updated with Power BI and data analytics best practices to enhance reporting ... S. Our internship hourly rates are a standard pay determined based on the position and your ...

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Data Analysis Internship information

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$11

$21

$40

How much do data analysis internship jobs pay per hour?

As of Jul 5, 2026, the average hourly pay for data analysis internship in Raleigh, NC is $21.88, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $23.85 per hour, depending on experience, location, and employer.

What is a Data Analysis Internship?

A Data Analysis Internship is a temporary position where students or recent graduates gain practical experience in collecting, processing, and interpreting data to help organizations make informed decisions. Interns typically work under the supervision of experienced data analysts and use tools like Excel, SQL, or Python to analyze datasets. The role helps interns develop technical and analytical skills, and often includes tasks such as generating reports, identifying trends, and presenting findings. This internship is valuable for building a foundation in data analysis and can lead to future career opportunities in the field.

What is the difference between Data Analysis Internship vs Data Analyst?

AspectData Analysis InternshipData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some roles prefer certifications
Work EnvironmentInternship programs, entry-level, supervisedFull-time, professional setting, independent responsibilities
Employer & Industry UsageInternship programs in tech, finance, healthcare, etc.Full-time roles across various industries
Search & Comparison IntentLooking for entry-level opportunities, internshipsSeeking full-time data analysis roles

In summary, a Data Analysis Internship is an entry-level, supervised position designed for students or recent graduates to gain experience. A Data Analyst is a full-time professional role requiring more experience and responsibility. Both roles are common in similar industries and often share similar educational backgrounds, but they differ significantly in scope and career stage.

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

To thrive as a Data Analysis Intern, you typically need a strong foundation in statistics, analytical thinking, and familiarity with data manipulation, often supported by coursework in mathematics, computer science, or related fields. Proficiency in tools such as Excel, SQL, Python or R, and data visualization platforms like Tableau is commonly expected. Attention to detail, curiosity, and effective communication skills help interns interpret data accurately and share insights with diverse teams. These abilities are crucial for transforming raw data into actionable insights and supporting informed decision-making within an organization.

Is a data analyst internship worth it?

A data analyst internship provides practical experience with data analysis tools like Excel, SQL, and visualization software, which can enhance employability and skill development. It offers exposure to real-world projects and networking opportunities, making it valuable for those starting a career in data analysis.

Can I do a data analyst internship?

Yes, a data analysis internship is typically available for students or entry-level candidates interested in developing skills in data collection, analysis, and visualization using tools like Excel, SQL, or Python. Internships often require basic knowledge of statistics and data tools, and they provide practical experience in a professional environment.

What would a data analyst intern do?

A data analysis intern assists with collecting, cleaning, and organizing data, then analyzes it to identify trends and insights. They often use tools like Excel, SQL, or Python and may support reporting and visualization tasks under supervision.

What are some common challenges faced during a Data Analysis Internship, and how can I overcome them?

As a Data Analysis Intern, one common challenge is working with large, complex datasets that may have missing or inconsistent information. Learning how to clean and preprocess data efficiently is crucial for meaningful analysis. Another challenge is understanding the business context behind the data, which often requires close collaboration with team members from different departments. To overcome these hurdles, proactively seek guidance from mentors, utilize available documentation, and regularly communicate with stakeholders to clarify project goals and data requirements.

What type of internship can I get for data analyst?

A data analysis internship typically involves working with data sets to identify trends, create reports, and support decision-making. Interns often use tools like Excel, SQL, and Python or R, and may be required to have basic knowledge of statistics and data visualization. These internships are usually offered during summer or semester breaks and can be paid or unpaid depending on the organization.
What are the most commonly searched types of Data Analysis jobs in Raleigh, NC? The most popular types of Data Analysis jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Data Analysis Internship jobs? Cities near Raleigh, NC with the most Data Analysis Internship job openings:
Infographic showing various Data Analysis Internship job openings in Raleigh, NC as of June 2026, with employment types broken down into 3% As Needed, 60% Full Time, 34% Part Time, and 3% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $45,502 per year, or $21.9 per hour.
Leap Systems Analyst

Full-time

Posted 3 days ago


Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 266 frontline employees who took The Breakroom Quiz

16th of 146 rated financial services


Job description

Job Description:

Fidelity LEAP Program

Note: Fidelity will not provide immigration sponsorship for this position

Launch your tech career by building real solutions that impact millions.

Ready to go beyond the classroom? Build technology that powers financial outcomes for millions of customers - supporting individuals, employers, and institutions across a global, diversified business with trillions in assets. Join Fidelity's LEAP Program and start your career alongside thousands of technologists shaping the future of financial services.

About the LEAP Program

Our 10-week immersive program is designed to help you transition from college to a full-time technology career.

You'll gain hands-on experience, build production-ready skills, and grow alongside a cohort of peers, all while solving real, complex business challenges.

What you'll gain:

  • Real-world technology experience from day one
  • Mentorship from experienced engineers and leaders
  • A strong peer network that lasts beyond the program
  • A clear path to continued growth at Fidelity

Program Highlights

Learn by Building
Work on real projects in a supportive environment where you can experiment, learn, and make an impact.

AI-Native Development
Use AI tools as part of your daily workflow, learning how to apply them responsibly to modern engineering challenges.

Cohort Experience
Join a group of peers in an in-person, team-based setting with built-in support, coaching, and collaboration.

Career Acceleration
This isn't just a program, it's the start of your career. Continue growing with meaningful work, mentorship, and long-term opportunities at Fidelity.

The Role

We're looking for curious, driven systems analysts who want to understand how technology and business come together to solve problems and deliver value for customers.

In this role, you will:

  • Support analysis activities by participating in stakeholder discussions, capturing requirements, and helping clarify ambiguities with guidance from senior analysts and team members
  • Work on real projects from start to finish, gaining exposure to the full delivery lifecycle including requirements, architecture, design, testing, and implementation
  • Create and maintain documentation such as user stories, functional specifications, acceptance criteria, and process/data flow diagrams using standard tools and templates, while describing basic concepts and major activities associated with requirements analysis
  • Develop an understanding of business context, system workflows, data flows, and upstream/downstream dependencies across the technology landscape
  • Support basic data analysis activities, including running queries, validating test data, and investigating simple data or system issues. while identifying gaps between current systems and future business needs.
  • Assist with testing efforts by creating test cases, executing tests, analyzing results, and logging defects
  • Explore emerging tools and technologies, including AI, and learn how to apply them responsibly to improve analysis and delivery outcomes
  • Contribute as part of a team focused on delivering solutions that help customers achieve their long-term financial goals

Skills You Bring

  • Pursuing or recently completed a bachelor's degree in Business, MIS, Information Systems, Computer Science, or a related field
  • Familiarity with requirements gathering, documentation, or systems analysis concepts (academic or internship experience)
  • Foundational awareness of data concepts (e.g., data flows, data validation, or querying)
  • Strong analytical thinking and problem-solving skills
  • Ability to break down problems and ask thoughtful, clarifying questions
  • Familiarity with diagramming tools such as Visio or Drawio
  • Hands-on project or internship experience (preferred)
  • Strong written and verbal communication skills
  • Ability to collaborate and thrive in a fast-paced, team environment
  • Curiosity, attention to detail, and a passion for continuous learning

Why Fidelity?

  • Work on systems and products used by millions
  • Access to diverse tech stack and AI tools
  • Structured career development and mobility
  • Strong mentorship culture
  • Competitive benefits and stability

If you're excited to learn how technology enables business outcomes and want to build a strong foundation in systems analysis, Fidelity is a great fit for you. We hire for fundamentals, learning agility and problem-solving, and are committed to help you grow. Apply today!

Fidelity's Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.

Certifications:Category:Information Technology

Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.


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