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Internship Data Analytics Graduate Jobs in Raleigh, NC

Associate

Apex, NC · On-site

$70K - $75K/yr

The Associate, Data Science will perform data analysis of Clever Devices customers related to ... Prior internship or other work experience in a corporate environment. * Basic understanding of ...

Digital Analyst Internships

Raleigh, NC

$95.70K - $113.20K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... data from tools like Google Analytics, PowerBI, Excel, and Looker Studio to extract actionable ...

Digital Analyst Internships

Durham, NC

$95.20K - $112.60K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... data from tools like Google Analytics, PowerBI, Excel, and Looker Studio to extract actionable ...

Internships REPORTS TO: Director General Manager/Finance FLSA STATUS: Hourly Intern Summary As the ... Ability to analyze financial data and prepare financial reports, statements, and projections

Data Scientist

Chapel Hill, NC · On-site

$32.50K - $37.50K/yr

Amongst others, duties include: -Manage, gather, analyze, review and report information for ... or graduate students Special Physical/Mental Requirements Campus Security Authority ...

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Internship Data Analytics Graduate information

See Raleigh, NC salary details

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

As of May 29, 2026, the average hourly pay for internship data analytics graduate 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 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 are the most commonly searched types of Data Analytics Graduate jobs in Raleigh, NC? The most popular types of Data Analytics Graduate jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Internship Data Analytics Graduate jobs? Cities near Raleigh, NC with the most Internship Data Analytics Graduate job openings:
Associate

Associate

Clever Devices Ltd.

Apex, NC • On-site

$70K - $75K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 9 days ago


Job description

As THE leader in transit technology, Clever Devices' vision is to make meaningful contributions to worldwide mobility. Our goal is to be the leading provider of exciting technology that improves the quality of mobility in communities around the world.

Clever Devices is seeking a recent college graduate with a Data Science degree to join our team. The Associate, Data Science will perform data analysis of Clever Devices customers related to specific products (Clever Reports and R+) specifically as they relate to transportation operations, metrics, and performance measures. This position will work with both internal and external (customer’s) to develop meaningful analytics that drive business decisions. This role also encompasses support for trouble shooting, report/dashboard building, machine learning, causality, and general data analysis. As this position is customer facing, being customer focused is key.

Primary Responsibilities:

  • Review and analyze large amounts of raw data and find patterns and extract business insights that will help our customers improve operations.
  • Assist in writing programs to cleanse data with the purpose of integrating it into operations in a reusable manner.
  • Implement and validate predictive models, create and maintain statistical models and maintain a focus on big data.
  • Build partnerships with other departments while working in an Agile and collaborative team setting.
  • Evaluate results of data models and communicate results to internal and external customers (both technical and non-technical teams).

Skills Required:

  • B.S in Data Science, Applied Mathematics or related field. Master’s degree a plus.
  • Must be able to clearly communicate across many levels of the organization and have a comfort level interacting with external customers.
  • Basic and educational level understanding of statistical programming (i.e. Python, R, SAS, MATLAB, etc).
  • Prior internship or other work experience in a corporate environment.
  • Basic understanding of technical product development.
  • Personal or professional interest in public transportation

Clever Devices is an Affirmative Action/Equal Opportunity Employer

The compensation range posted for this position represents the anticipated minimum and maximum compensation for this position based upon a good faith and reasonable estimate. The exact compensation offered will depend on several factors such as the candidate’s experience, skills, training, education and/or physical location; internal equity; and, budget.


In addition, Clever Devices Ltd. offers a variety of benefits to eligible employees, including health insurance coverage, wellness and family support programs, life and disability insurance, retirement savings plans, paid leave programs, education-related programs, paid holidays and time off, and many others, depending on the level and position offered. Many of these benefits are subsidized or fully paid for by the company.

This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities, and activities may change, or new ones may be assigned at any time with or without notice based on business need.