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

NCSU

Temporary IT Analyst / Programmer II

Raleigh, NC · On-site

$30 - $39/hr

This role involves managing multiple interns who will contribute to software development along ... well as data infrastructure efforts being developed in partnership with NC Ag Analytics. The ...

Clever Devices Ltd.

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 ...

DAN

Research Assistant-Diving Science

Durham, NC · On-site

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 ...

Duke University

Lab Research Analyst II

Durham, NC

... data analysis (experience with FACSDiva, FlowJo, SpectroFlo and other Flow Cytometry analysis software is a plus) and troubleshooting instrument issues. * Train and instruct residents, interns ...

Duke University

Lab Research Analyst II

Durham, NC · On-site

... data analysis (experience with FACSDiva, FlowJo, SpectroFlo and other Flow Cytometry analysis software is a plus) and troubleshooting instrument issues. * Train and instruct residents, interns ...

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All JobsData Analytics JobsData Analytics Internship JobsData Analytics Internship Jobs in Raleigh, NC

Data Analytics Internship information

See Raleigh, NC salary details

$11

$21

$40

How much do data analytics internship jobs pay per hour?

As of Jul 24, 2026, the average hourly pay for data analytics 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 the difference between Data Analytics Internship vs Data Analyst?

AspectData Analytics InternshipData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some roles prefer certifications
Work EnvironmentEntry-level, learning-focused, often part-time or temporaryFull-time, professional setting, more responsibility
Employer & Industry UsageInternships offered by companies across industries for trainingFull-time roles in various industries, more specialized
Search & Comparison IntentLooking for entry-level opportunities or internshipsSeeking full-time data analysis roles

The main difference between a Data Analytics Internship and a Data Analyst role is experience level and responsibility. Internships are designed for students or recent graduates gaining initial exposure, while Data Analysts are full-time professionals handling complex data projects. Internships serve as a stepping stone toward a full Data Analyst career.

What type of internship can I get for data analyst?

A data analytics internship typically involves working with data analysis tools like Excel, SQL, or Python to support business decision-making. Interns often assist with data collection, cleaning, visualization, and reporting, gaining practical experience in data-driven environments. These internships are usually offered by companies across various industries and may require basic knowledge of statistics and data tools.

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

To thrive as a Data Analytics Intern, you need a solid grasp of statistics, data analysis, and familiarity with programming languages like Python or R, often supported by coursework in data science or related fields. Experience with data visualization tools (such as Tableau or Power BI), SQL databases, and proficiency in Excel are commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills help interns stand out in collaborative, data-driven environments. These skills are crucial for transforming data into actionable insights and supporting decision-making processes within organizations.

What are the big 4 internships?

The Big 4 internships typically refer to internship programs at Deloitte, PricewaterhouseCoopers (PwC), Ernst & Young (EY), and KPMG. These firms offer internships in areas like audit, consulting, tax, and advisory, providing valuable experience and potential pathways to full-time roles in the field of data analytics and finance.

Can I do a data analyst internship?

Yes, a data analyst internship is available for students or entry-level candidates interested in developing skills in data analysis, statistics, and tools like Excel, SQL, or Python. Internships typically require relevant coursework or basic knowledge of data concepts and may be part-time or summer positions to gain practical experience.

What would a data analyst intern do?

A data analyst intern assists in collecting, cleaning, and analyzing data to identify trends and support decision-making. They often use tools like Excel, SQL, or Python and may help prepare reports or visualizations under supervision.

What is a Data Analytics Internship?

A Data Analytics Internship is a temporary position, often for students or recent graduates, that provides hands-on experience working with data to identify trends, create reports, and support decision-making within an organization. Interns typically assist with data collection, cleaning, analysis, and visualization, using tools like Excel, SQL, Python, or specialized analytics software. The internship offers practical exposure to real-world business problems and helps interns develop critical technical and analytical skills valuable for a future career in data analytics.

What types of projects do Data Analytics Interns typically work on during their internship?

Data Analytics Interns often work on projects involving data cleaning, exploratory data analysis, and visualization to support business decisions. They may assist in creating dashboards, conducting statistical analyses, or helping to automate data collection processes. Interns frequently collaborate with data analysts, engineers, or business teams to understand project goals and contribute meaningful insights. These projects help interns gain practical experience with industry-standard tools like Excel, SQL, Python, or Tableau, while learning to communicate findings effectively within a team setting.
What are the most commonly searched types of Data Analytics jobs in Raleigh, NC? The most popular types of Data Analytics jobs in Raleigh, NC are:
What are popular job titles related to Data Analytics Internship jobs in Raleigh, NC? For Data Analytics Internship jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Data Analytics Internship jobs in Raleigh, NC look for? The top searched job categories for Data Analytics Internship jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Data Analytics Internship jobs? Cities near Raleigh, NC with the most Data Analytics Internship job openings:
Data Analytics Internship jobs near you
Infographic showing various Data Analytics Internship job openings in Raleigh, NC as of July 2026, with employment types broken down into 93% Full Time, 5% Part Time, and 2% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $45,502 per year, or $21.9 per hour.
Academy - Demand Generation Specialist

Academy - Demand Generation Specialist

NetApp

Morrisville, NC

Other

Medical, Life, Retirement, PTO

Posted 14 days ago

Job description

Job Summary

Join NetApp's Demand Marketing team and help drive data-driven campaigns that enable enterprise customers to modernize their data infrastructure for AI and cloud workloads. In this role, you'll blend marketing strategy, analytics, and technology to influence pipeline growth, optimize campaign performance, and support NetApp's go-to-market initiatives.  

What You'll Do
  • Research and develop audience profiles to better understand buyer needs, priorities, and engagement patterns across enterprise IT and data leadership audiences.
  • Analyze marketing content and campaign performance to identify opportunities that improve audience engagement and pipeline generation.
  • Partner with Product Marketing, Customer Experience, and Sales teams to develop and execute multi-channel demand generation campaigns.
  • Create compelling campaign messaging, email programs, and digital content that communicate NetApp's data infrastructure and AI value proposition.
  • Monitor key marketing metrics, including engagement, conversion, and pipeline performance, and provide insights to optimize future campaigns.
  • Leverage marketing technology, data, and analytics tools to support campaign execution and reporting.
  • Present recommendations and business insights to stakeholders and leadership teams.
What You'll Gain
  • Exposure to enterprise technology, AI, cloud, and data infrastructure markets.
  • Experience working in a global, cross-functional marketing organization.
  • Opportunities to build expertise in demand generation, campaign analytics, digital marketing, and marketing operations.
  • Visibility with senior leaders and opportunities to contribute to strategic business initiatives.
  • A strong foundation for a career in marketing, business strategy, customer engagement, or go-to-market operations.
Qualifications
  • Bachelor's or Master's degree in Marketing, Business, Communications, Data Analytics, or a related field.
  • Interest in B2B marketing, technology, AI, cloud computing, or enterprise software.
  • Strong analytical and problem-solving skills with the ability to interpret data and identify actionable insights.
  • Excellent written and verbal communication skills.
  • Ability to manage multiple priorities in a fast-paced, collaborative environment.
  • Experience with marketing analytics, CRM, or digital marketing platforms.
  • Proficiency with Excel, Google Sheets, or data visualization tools.
  • Familiarity with AI, cloud technologies, or enterprise software markets.
  • Previous experience through internships, campus organizations, projects, or related professional roles.

Compensation:
The target salary range for this position is 88,400 - 132,000 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU's), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process. 

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