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Remote Data Analytics Intern Jobs in Nebraska (NOW HIRING)

Data and Analytics - AI Engineer II

Omaha, NE · On-site +1

$107K - $150K/yr

... intern. The team works closely with the Data Analytics teams and stakeholders across Business Technology to deliver enterprise AI capabilities. The AI Engineer II plays a critical role in building ...

Job Title Commercial Insurance Analytics Consultant - Remote Requisition Number R7735 Commercial ... Partners closely with IT, data, and digital teams to define business requirements, influence data ...

Over 300 leading healthcare organizations have come to rely on MedInsight analytic solutions for ... This position is fully remote, while occasional travel may be required. Primary Responsibilities:

Use data analytics to identify trends, forecast needs, and drive continuous improvement. * Ensure ... Remote Working and Technology Requirements To work remote, individuals must meet all the ...

Use data analytics to identify trends, forecast needs, and drive continuous improvement. * Ensure ... Remote Working and Technology Requirements To work remote, individuals must meet all the ...

Support the development of AIenabled and automated analytics capabilities * Leverage Industry data ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

Are you early in your actuarial career and excited to turn data into meaningful business insights? MEM Insurance is seeking an Actuarial Analyst to join our growing Finance team. In this role, you ...

Develops and analyzes data related to complex actuarial functions * Evaluates analytical work done ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

Remote Categories: Information Technology Join Mutual of Omaha as were looking for a Data Science ... A Graduate degree in an analytical field (Math, Stats, CS, BI etc.) and 2+ years of experience in ...

Remote - US Interested applicants must reside in one of the following approved states: Arizona ... You'll be the architect of a centralized, trusted data ecosystem-transforming complex trade data ...

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Remote Data Analytics Intern information

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

To thrive as a Remote Data Analytics Intern, you need foundational knowledge in statistics, data analysis, and proficiency with data manipulation, typically supported by coursework in data science or a related field. Familiarity with tools such as Excel, SQL, Python, and data visualization platforms like Tableau is often expected. Strong communication, time management, and self-motivation are crucial soft skills for collaborating remotely and delivering results independently. These skills enable effective data-driven insights and ensure productivity in a virtual work environment.

What are some common challenges faced by Remote Data Analytics Interns and how can they overcome them?

Remote Data Analytics Interns often encounter challenges like maintaining clear communication with team members, staying self-motivated, and accessing necessary data or tools. To overcome these, it's important to proactively schedule check-ins with supervisors, utilize collaboration platforms (like Slack or Microsoft Teams), and clarify data access protocols early on. Setting a structured daily routine and keeping detailed notes can also help interns stay organized and productive while working remotely.

What does a Remote Data Analytics Intern do?

A Remote Data Analytics Intern assists companies in collecting, processing, and analyzing data to support business decisions, all while working from a remote location. Their responsibilities often include cleaning datasets, creating reports, visualizing data trends, and sometimes developing predictive models under the guidance of experienced analysts. Interns use tools like Excel, Python, R, or SQL to handle data tasks and may participate in virtual meetings to discuss findings and recommendations. This role helps interns gain practical experience in data analysis, problem-solving, and communication within a professional remote setting.

What is the difference between Remote Data Analytics Intern vs Remote Data Analyst?

AspectRemote Data Analytics InternRemote Data Analyst
Required CredentialsTypically pursuing or recently completed a degree in data science, statistics, or related fieldOften holds a degree and may have some professional experience in data analysis
Work EnvironmentInternship, often part-time or temporary, with mentorship and trainingFull-time or part-time remote role with independent responsibilities
Employer & Industry UsageUsed by companies for entry-level training and talent pipelineUsed by organizations for ongoing data analysis and decision support

The main difference between a Remote Data Analytics Intern and a Remote Data Analyst lies in experience and responsibilities. Interns are typically students or recent graduates gaining practical experience, while Data Analysts are more experienced professionals performing ongoing data analysis tasks. Internships serve as training roles, whereas Data Analysts handle continuous, independent work in data-driven decision-making.

What are popular job titles related to Remote Data Analytics Intern jobs in Nebraska? For Remote Data Analytics Intern jobs in Nebraska, the most frequently searched job titles are:
What job categories do people searching Remote Data Analytics Intern jobs in Nebraska look for? The top searched job categories for Remote Data Analytics Intern jobs in Nebraska are:
Infographic showing various Remote Data Analytics Intern job openings in Nebraska as of July 2026, with employment types broken down into 1% Internship, 87% Full Time, 6% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution.
Data and Analytics - AI Engineer II

Data and Analytics - AI Engineer II

WoodmenLife

Omaha, NE • On-site, Remote

$107K - $150K/yr

Full-time

Re-posted 15 days ago


Job description

AI Engineer II (Hybrid) YOU MUST CURRENTLY BE IN OMAHA AREA!
Requisition Job Title: AI Engineer II
Division: Business Technology
Department: Data & Analytics
Location: Home Office (Hybrid - Omaha, NE preferred)
Role Overview
How This Role Fits into WoodmenLife
This role is part of a newly formed AI team within the Data & Analytics function, currently consisting of an AI Engineer Lead (III), Data Scientist I, and an AI Engineer intern. The team works closely with the Data Analytics teams and stakeholders across Business Technology to deliver enterprise AI capabilities.
The AI Engineer II plays a critical role in building and deploying scalable, production-grade AI solutions that support core business functions. This position helps drive WoodmenLife's transformation into an AI-first organization, modernizing processes across underwriting, claims, customer experience, and risk assessment.
Why You'll Love This Role
WoodmenLife is seeking an AI Engineer II to help bring AI solutions from concept to reality across the enterprise. In this role, you'll build systems that go beyond experimentation-delivering real, measurable business impact.
This position is ideal for someone passionate about applying AI in production environments, solving meaningful business problems, and working across a modern cloud-based ecosystem. You'll gain exposure to end-to-end AI delivery, collaborate with cross-functional teams, and play a foundational role in scaling AI capabilities across the organization.
WoodmenLife offers a supportive, collaborative environment that encourages growth, innovation, and continuous learning.
This is the Life (WoodmenLife)
As a not-for-profit life insurance company, WoodmenLife is devoted to protecting the financial futures of families and making a difference in hometowns across America. With over 135 years of success, our commitment extends beyond our members-we invest in our associates.
We provide an environment that encourages professional growth, creativity, and innovation, while supporting meaningful work that directly impacts our members and communities.
What You'll Do
Key Functions
  • Design and develop AI/ML solutions aligned with business objectives

  • Build and deploy RAG augmented CoPilots into enterprise production environments

  • Develop data pipelines and infrastructure to support AI workloads

  • Monitor model performance and implement continuous improvements

  • Ensure AI solutions meet security, compliance, and governance standards

Day-to-Day Responsibilities
  • Design and build AI/ML solutions for various business units

  • Design and integrate Agentic processes into enterprise systems and workflows

  • Maintain and optimize data pipelines for training and inference

  • Monitor model accuracy, drift, and performance metrics

  • Collaborate with cross-functional teams to deliver scalable solutions

  • Participate in code reviews, documentation, and best practice development

AI Engineering & Delivery
  • Build prototypes, MVPs, and production-ready AI applications

  • Develop agentic workflows and intelligent automation solutions

  • Implement APIs and services for agent integration

  • Apply AIOps/MLOps practices for deployment, monitoring, and lifecycle management

Collaboration & Continuous Improvement
  • Partner with Data Teams, IT, and business stakeholders

  • Contribute to enterprise AI strategy and adoption

  • Stay current with emerging AI tools and technologies

  • Promote responsible AI practices including fairness, explainability, and compliance

Tools & Technologies
  • Languages: Python, SQL, C#

  • Frameworks: TensorFlow, PyTorch, ML.NET

  • Cloud Platforms: Azure

  • Tools: Power Automate, AI Foundry, Power Platform

  • Data Platforms: Snowflake (preferred), SQL Server, Fabric

Projects & Initiatives
  • Advancing enterprise AI/ML capabilities and platforms

  • Building intelligent automation and agent-based workflows

  • Strengthening the organization's data and AI foundation

  • Driving responsible AI governance and compliance practices

  • Expanding AI adoption across business functions

Qualifications
Minimum Qualifications
  • Bachelor's degree in Computer Science, Data Science, or related field

  • 3-5 years of experience developing AI/ML solutions in production environments

  • Strong programming skills in Python, SQL, and C#

  • Experience with machine learning, deep learning, or NLP

  • Experience with cloud platforms and MLOps practices

  • Strong analytical, problem-solving, and communication skills

  • Ability to manage multiple priorities and meet deadlines

Preferred Qualifications
  • Experience in insurance or financial services

  • Familiarity with underwriting, claims, or risk workflows

  • Experience with Microsoft technology stack and Snowflake

  • Exposure to responsible AI and governance frameworks

Career Growth
AI Engineers may advance to AI Engineer III, with opportunities to expand into senior engineering, architecture, or AI leadership roles as the organization continues scaling its AI capabilities.
Operational Considerations
This is a hybrid role based in Omaha, NE. Candidates should be able to work on-site as needed to support team collaboration and strategic initiatives.
Leadership Insight
Leadership style is people-centered, focusing on understanding individual strengths, empowering ownership, and fostering a collaborative environment where team members can grow and succeed.
WoodmenLife offers a competitive compensation and benefits package. Learn more:
https://www.woodmenlife.org/careers/home-office/benefits/. Employment is contingent upon successful completion of background checks, which may include criminal, credit, fingerprinting (where required), drug screening, and reference checks. WoodmenLife is committed to creating an inclusive environment that values diverse perspectives and provides equal opportunities for growth, leadership, and service.