Top 7 Analytics intern Jobs in Nebraska

Intern Program - Agentic AI
Nelnet —Lincoln, NE
- $21 - $25 an hour
- Part-time
- Computer Science
- Java
- Analysis skills
- Flexible schedule
Analytics Internship - Summer 2027
Conagra Brands —Omaha, NE
- $20 - $28 an hour
- Full-time
- Computer Science
- Office
- Entry level
- Paid holidays
1d
Business Services Internship - Summer 2027
Conagra Brands —Omaha, NE
- $20 - $28 an hour
- Full-time
- Computer Science
- Office
- Finance
- Paid holidays
1d
Business Analyst Intern
Sandhills Global, Inc. —Lincoln, NE
- $20 an hour
- Office
- Organizational skills
- Software development
Quick Apply
Data Scientist Intern - In Office, Lincoln, NE only
Sandhills Global, Inc. —Lincoln, NE
- Full-time
- Office
- SQL
- Math
Quick Apply
Talent Analyst Intern
Gallup —Omaha, NE
- $20 - $30 an hour
- Part-time
- Hybrid work
- Office
- Psychology
- US work authorization
- 401(k)
- Employee assistance program
Marketing Intern
FrameBrand —Omaha, NE
- $18 - $20 an hour
- Part-time
- Marketing
- Research
- Office
Quick Apply

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Analytics Internship - Summer 2027
Conagra Brands —Omaha, NE
The analytics internship will focus on utilizing our modern cloud platforms, including Palantir, Databricks and Power BI to develop products and solutions to…
$20 - $28 an hour
1d
Business Services Internship - Summer 2027
Conagra Brands —Omaha, NE
Experience with Power BI, SQL, Python, Power Platform, AI tools, analytics platforms, or automation technologies is a plus but not required.
$20 - $28 an hour
1d

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Sales Data Analytics Intern (Summer 2027)
Vertiv —Westerville, OH
Must be pursuing a degree in Data Science, Statistics, Computer Science, or a related field. This internship offers an excellent opportunity to gain hands-on…
6d
Operations Intern (Summer 2027)
Vertiv —Westerville, OH
Currently enrolled in a degree program in Data Science, Computer Science, Information Systems, Business Analytics, or a related field.
6d

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Intern Program - Agentic AI

Nelnet -
Lincoln, NE

Apply Now

Job Details

Part-time | Internship
$21 - $25 an hour

Benefits

Flexible schedule

Qualifications

AI models
TensorFlow
Knowledge management
AI use case identification
Data systems development
Data visualization software proficiency
Computer Science
PyTorch
Database systems development
Technical documentation
Presentations for conferences or internal meetings
NumPy
R
AI platforms (beyond public GPTs)
Computational framework
Java
Pandas
Analysis skills
Machine intelligence
Research report preparation
Presentation skills
Decision making
Team training
Organizational skills
Technical research projects
Data-driven problem-solving
Technical training
Training & development
AI-driven automation
Machine learning libraries

Full Job Description

Our Vision: We make dreams possible.

Yes, we’re a student loan servicer. We’re also a technology company, idea incubator, start-up accelerator, and K-12 and higher education expert. At Nelnet, we’re so much more than what you think—and we’re just getting started. So, no matter what you want to do in life—build codes or build brands—we’re the best place to do it.

Join Nelnet as an intern and do real work that matters to our business. All Nelnet interns receive one-on-one mentorship, competitive pay, casual dress, flexible schedule, intern-specific programming, and meaningful work experience.

Apply to one of our internships today. Your career awaits.

Nelnet’s AI Cohort Internship Program is a hands-on experience that offers interns a unique opportunity to work on AI-focused projects across multiple business units within Nelnet. This program is designed to foster a culture of innovation, enhance team AI capabilities, and meet evolving resource needs. Interns will collaborate with various teams, contribute to impactful projects, and gain exposure to AI applications in real business settings.

Collaborate with Teams: Work closely with various business units to identify AI-driven opportunities for improved efficiency and productivity.
Research & Database Management: Assist in building a research database for tracking AI projects and participate in knowledge-sharing initiatives across the organization.
Project Support & Training: Conduct meetings with various teams to understand project requirements, deliver AI training sessions, and participate in hands-on support for ongoing initiatives.
Documentation & Knowledge Transfer: Document all project steps, results, challenges, and recommendations for continued progress within teams.
Final Presentation: Present findings, achievements, and key takeaways to Nelnet leadership and team members at the end of the internship.

EDUCATION:
Pursuing a degree in Computer Science, Data Science, Engineering, Business, Visual Media Arts, or a related field.

EXPERIENCE:

Previous Internship/Project Experience (Preferred): Experience in AI-related internships, research projects, or personal AI/technology initiatives is a plus, but not required. Experience with data analysis, programming, or AI tool development is beneficial.
Technical Skills: Familiarity with programming languages such as Python, R, or Java. Experience with AI/ML frameworks, data visualization tools, or database management platforms is highly desirable.
Problem-Solving & Analytical Experience: Ability to approach complex problems with a structured, analytical mindset and deliver data-driven solutions. Experience using critical thinking to solve challenges is valued.
Communication & Collaboration: Experience in working in a team setting, collaborating on projects, and effectively communicating ideas to both technical and non-technical team members.
Project Documentation: Experience in documenting processes, results, and creating clear reports or presentations to convey findings and recommendations is a plus.

COMPETENCIES – SKILLS/KNOWLEDGE/ABILITIES:

AI and Data Analysis Knowledge: Strong understanding of artificial intelligence concepts, machine learning models, and data analytics techniques. Familiarity with AI tools, algorithms, and frameworks is an advantage.
Agentic AI Workflows: Comfortable with exploring how business processes can transform into Agentic AI workflows, and how AI Agents can lead, pair, and hand-off tasks in a multi-agentic environment. The ability to question what components are required—how data is organized, ethical and security concerns—will prove beneficial to understanding Agentic conversations.
Programming & Technical Proficiency: Proficient in programming languages such as Python, R, or Java. Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy) and machine learning frameworks (e.g., TensorFlow, PyTorch) is beneficial.
Problem-Solving & Critical Thinking: Ability to break down complex problems into manageable tasks and apply logical reasoning to develop innovative solutions. A strong aptitude for troubleshooting and refining AI models or systems.
Data Interpretation & Decision-Making: Ability to interpret large datasets and AI-generated insights to inform business decisions. Comfortable leveraging AI tools to analyze data and translate findings into actionable recommendations.
Communication Skills: Strong written and verbal communication skills, with the ability to clearly explain technical concepts to both technical and non-technical stakeholders. Comfortable presenting ideas, findings, and recommendations to a wide audience.
Collaboration & Teamwork: Demonstrates strong interpersonal skills, working effectively within a team and collaborating across departments. A team player who contributes to collective goals and values diverse perspectives.
Attention to Detail: Highly detail-oriented with the ability to ensure accuracy in data handling, AI model implementation, and project documentation. Ensures quality control in deliverables.
Adaptability & Willingness to Learn: Open to learning new technologies and methods within the rapidly evolving AI field. Able to adapt to changing business needs and technological advancements in AI.
Ethical Awareness: Strong understanding of ethical considerations in AI development, particularly regarding data privacy, algorithmic fairness, and the responsible use of AI technologies.

Pay - $21 - $25/ hourly

Nelnet is committed to providing a welcoming and respectful workplace where all associates have the opportunity to succeed. As an Equal Opportunity Employer, we ensure that all qualified applicants are considered for employment. Employment decisions are made without regard to race, color, religion/creed, national origin, gender, sex, marital status, age, disability, use of a guide dog or service animal, sexual orientation, military/veteran status, or any other status protected by federal, state, or local law. We value the unique contributions of every team member and believe that a positive work environment benefits everyone.

Qualified individuals with disabilities who require reasonable accommodations in order to apply or compete for positions at Nelnet may request such accommodations by contacting Corporate Recruiting at 402-486-5725 or [email protected].

Nelnet is a Drug Free and Tobacco Free Workplace.

Use of Artificial Intelligence in Hiring

We may use automated or artificial intelligence enabled tools to assist with the initial review of applications, such as identifying relevant skills or experience. These tools are used to support human review and do not make hiring decisions. A recruiter reviews applications and determines which candidates move forward in the hiring process. For more information, see our Privacy Policy and Pre-Use Notice: Automated Tools in Hiring

Apply Now

Refine Your Search

analytics intern jobs in nebraska

Intern Program - Agentic AI

Analytics Internship - Summer 2027

Business Services Internship - Summer 2027

Business Analyst Intern

Data Scientist Intern - In Office, Lincoln, NE only

Talent Analyst Intern

Marketing Intern

More jobs to discover

Explore jobs in cities nearby

I want to receive the latest job alert for analytics intern in nebraska

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Collaborate with Teams: Work closely with various business units to identify AI-driven opportunities for improved efficiency and productivity.

Research & Database Management: Assist in building a research database for tracking AI projects and participate in knowledge-sharing initiatives across the organization.

Project Support & Training: Conduct meetings with various teams to understand project requirements, deliver AI training sessions, and participate in hands-on support for ongoing initiatives.

Documentation & Knowledge Transfer: Document all project steps, results, challenges, and recommendations for continued progress within teams.

Final Presentation: Present findings, achievements, and key takeaways to Nelnet leadership and team members at the end of the internship.

EDUCATION:
Pursuing a degree in Computer Science, Data Science, Engineering, Business, Visual Media Arts, or a related field.

EXPERIENCE:

Previous Internship/Project Experience (Preferred): Experience in AI-related internships, research projects, or personal AI/technology initiatives is a plus, but not required. Experience with data analysis, programming, or AI tool development is beneficial.

Technical Skills: Familiarity with programming languages such as Python, R, or Java. Experience with AI/ML frameworks, data visualization tools, or database management platforms is highly desirable.

Problem-Solving & Analytical Experience: Ability to approach complex problems with a structured, analytical mindset and deliver data-driven solutions. Experience using critical thinking to solve challenges is valued.

Communication & Collaboration: Experience in working in a team setting, collaborating on projects, and effectively communicating ideas to both technical and non-technical team members.

Project Documentation: Experience in documenting processes, results, and creating clear reports or presentations to convey findings and recommendations is a plus.

COMPETENCIES – SKILLS/KNOWLEDGE/ABILITIES:

AI and Data Analysis Knowledge: Strong understanding of artificial intelligence concepts, machine learning models, and data analytics techniques. Familiarity with AI tools, algorithms, and frameworks is an advantage.

Programming & Technical Proficiency: Proficient in programming languages such as Python, R, or Java. Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy) and machine learning frameworks (e.g., TensorFlow, PyTorch) is beneficial.

Problem-Solving & Critical Thinking: Ability to break down complex problems into manageable tasks and apply logical reasoning to develop innovative solutions. A strong aptitude for troubleshooting and refining AI models or systems.

Data Interpretation & Decision-Making: Ability to interpret large datasets and AI-generated insights to inform business decisions. Comfortable leveraging AI tools to analyze data and translate findings into actionable recommendations.

Communication Skills: Strong written and verbal communication skills, with the ability to clearly explain technical concepts to both technical and non-technical stakeholders. Comfortable presenting ideas, findings, and recommendations to a wide audience.

Collaboration & Teamwork: Demonstrates strong interpersonal skills, working effectively within a team and collaborating across departments. A team player who contributes to collective goals and values diverse perspectives.

Attention to Detail: Highly detail-oriented with the ability to ensure accuracy in data handling, AI model implementation, and project documentation. Ensures quality control in deliverables.

Adaptability & Willingness to Learn: Open to learning new technologies and methods within the rapidly evolving AI field. Able to adapt to changing business needs and technological advancements in AI.

Ethical Awareness: Strong understanding of ethical considerations in AI development, particularly regarding data privacy, algorithmic fairness, and the responsible use of AI technologies.

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analytics intern jobs in nebraska

Analytics Internship - Summer 2027

Business Services Internship - Summer 2027

Business Analyst Intern

Data Scientist Intern - In Office, Lincoln, NE only

Talent Analyst Intern

Marketing Intern

More jobs to discover

Explore jobs in cities nearby

I want to receive the latest job alert for analytics intern in nebraska

Explore jobs in more locations

Collaborate with Teams: Work closely with various business units to identify AI-driven opportunities for improved efficiency and productivity.

Research & Database Management: Assist in building a research database for tracking AI projects and participate in knowledge-sharing initiatives across the organization.

Project Support & Training: Conduct meetings with various teams to understand project requirements, deliver AI training sessions, and participate in hands-on support for ongoing initiatives.

Documentation & Knowledge Transfer: Document all project steps, results, challenges, and recommendations for continued progress within teams.

Final Presentation: Present findings, achievements, and key takeaways to Nelnet leadership and team members at the end of the internship.

EDUCATION: Pursuing a degree in Computer Science, Data Science, Engineering, Business, Visual Media Arts, or a related field.

EXPERIENCE:

Previous Internship/Project Experience (Preferred): Experience in AI-related internships, research projects, or personal AI/technology initiatives is a plus, but not required. Experience with data analysis, programming, or AI tool development is beneficial.

Technical Skills: Familiarity with programming languages such as Python, R, or Java. Experience with AI/ML frameworks, data visualization tools, or database management platforms is highly desirable.

Problem-Solving & Analytical Experience: Ability to approach complex problems with a structured, analytical mindset and deliver data-driven solutions. Experience using critical thinking to solve challenges is valued.

Communication & Collaboration: Experience in working in a team setting, collaborating on projects, and effectively communicating ideas to both technical and non-technical team members.

Project Documentation: Experience in documenting processes, results, and creating clear reports or presentations to convey findings and recommendations is a plus.

COMPETENCIES – SKILLS/KNOWLEDGE/ABILITIES:

AI and Data Analysis Knowledge: Strong understanding of artificial intelligence concepts, machine learning models, and data analytics techniques. Familiarity with AI tools, algorithms, and frameworks is an advantage.

Programming & Technical Proficiency: Proficient in programming languages such as Python, R, or Java. Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy) and machine learning frameworks (e.g., TensorFlow, PyTorch) is beneficial.

Problem-Solving & Critical Thinking: Ability to break down complex problems into manageable tasks and apply logical reasoning to develop innovative solutions. A strong aptitude for troubleshooting and refining AI models or systems.

Data Interpretation & Decision-Making: Ability to interpret large datasets and AI-generated insights to inform business decisions. Comfortable leveraging AI tools to analyze data and translate findings into actionable recommendations.

Communication Skills: Strong written and verbal communication skills, with the ability to clearly explain technical concepts to both technical and non-technical stakeholders. Comfortable presenting ideas, findings, and recommendations to a wide audience.

Collaboration & Teamwork: Demonstrates strong interpersonal skills, working effectively within a team and collaborating across departments. A team player who contributes to collective goals and values diverse perspectives.

Attention to Detail: Highly detail-oriented with the ability to ensure accuracy in data handling, AI model implementation, and project documentation. Ensures quality control in deliverables.

Adaptability & Willingness to Learn: Open to learning new technologies and methods within the rapidly evolving AI field. Able to adapt to changing business needs and technological advancements in AI.

Ethical Awareness: Strong understanding of ethical considerations in AI development, particularly regarding data privacy, algorithmic fairness, and the responsible use of AI technologies.

EDUCATION:
Pursuing a degree in Computer Science, Data Science, Engineering, Business, Visual Media Arts, or a related field.