ZipRecruiter

Log In

1

Associate In Insurance Data Analytics Jobs in Omaha, NE

WoodmenLife

Data and Analytics - AI Engineer II

Omaha, NE · On-site

$107K - $150K/yr

... associates. We provide an environment that encourages professional growth, creativity, and ... Experience in insurance or financial services * Familiarity with underwriting, claims, or risk ...

Mutual of Omaha

Sr Data Analytics Developer

Omaha, NE

$90K - $115K/yr

Analytics/Data Science In this role, you'll spend your day analyzing and connecting data from multiple systems to build and maintain reports and dashboards that support customer reporting and ...

Lorven Technologies

Data Analyst

Omaha, NE · On-site

Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, or a related field. * 5+ years of experience in Data Analytics, Business Intelligence, Reporting, or related analytical ...

ALLO Fiber

Senior Data Analyst

Waverly, NE · On-site

$84K - $106K/yr

... analytics). * Data Analysis & Insight Generation: * Conduct in-depth data analysis using various ... We are committed to providing opportunities to all applicants and associates without regard to race ...

D&G Solutions

Data Analyst - Journeyman

Bellevue, NE · On-site

Required : • A bachelor's degree or higher in Data Science, Computer Science, Data Analytics, Business Analytics, Management Information Systems, Statistics, Applied Mathematics, Applied Physics ...

ALLO Fiber

Senior Data Analyst

Gretna, NE · On-site

$80K - $101K/yr

... analytics). * Data Analysis & Insight Generation: * Conduct in-depth data analysis using various ... We are committed to providing opportunities to all applicants and associates without regard to race ...

ALLO Fiber

Senior Data Analyst

Springfield, NE · On-site

$84K - $106K/yr

... analytics). * Data Analysis & Insight Generation: * Conduct in-depth data analysis using various ... We are committed to providing opportunities to all applicants and associates without regard to race ...

ALLO Fiber

Senior Data Analyst

Omaha, NE · On-site

$82K - $103K/yr

... analytics). * Data Analysis & Insight Generation: * Conduct in-depth data analysis using various ... We are committed to providing opportunities to all applicants and associates without regard to race ...

ALLO Fiber

Senior Data Analyst

Papillion, NE · On-site

$79K - $100K/yr

... analytics). * Data Analysis & Insight Generation: * Conduct in-depth data analysis using various ... We are committed to providing opportunities to all applicants and associates without regard to race ...

ALLO Fiber

Senior Data Analyst

Ralston, NE · On-site

$77K - $98K/yr

... analytics). * Data Analysis & Insight Generation: * Conduct in-depth data analysis using various ... We are committed to providing opportunities to all applicants and associates without regard to race ...

ALLO Fiber

Senior Data Analyst

Fremont, NE · On-site

... analytics). * Data Analysis & Insight Generation: * Conduct in-depth data analysis using various ... We are committed to providing opportunities to all applicants and associates without regard to race ...

ALLO Fiber

Senior Data Analyst

La Vista, NE · On-site

$80K - $101K/yr

... analytics). * Data Analysis & Insight Generation: * Conduct in-depth data analysis using various ... We are committed to providing opportunities to all applicants and associates without regard to race ...

next page

Showing results 1-20

All JobsAssociate In Insurance Data Analytics JobsAssociate In Insurance Data Analytics Jobs in Omaha, NE

Associate In Insurance Data Analytics information

See Omaha, NE salary details

$3.1K

$6K

$8.6K

How much do associate in insurance data analytics jobs pay per month?

As of Jul 14, 2026, the average monthly pay for associate in insurance data analytics in Omaha, NE is $6,017.75, according to ZipRecruiter salary data. Most workers in this role earn between $5,458.33 and $6,416.67 per month, depending on experience, location, and employer.

What are some common challenges faced by an Associate in Insurance Data Analytics, and how can they be addressed?

Associates in Insurance Data Analytics often encounter challenges such as working with large, complex datasets and ensuring data accuracy for reliable analysis. Additionally, interpreting data in the context of insurance policies and risk models requires both technical and industry-specific knowledge. Collaborating closely with underwriters, actuaries, and claims teams can help bridge knowledge gaps and enhance data-driven decision-making. Staying up-to-date with analytical tools and best practices can also help overcome these challenges and support career growth.

Is 40 too late for data science?

For an Associate in Insurance Data Analytics, age is not a barrier to entering data science. Many professionals successfully transition into data analytics roles later in their careers by acquiring relevant skills such as programming, statistics, and data visualization, often through online courses or certifications. Experience and continuous learning are valued more than age in this field.

How much does an insurance analyst make?

An insurance analyst typically earns between $55,000 and $85,000 annually, depending on experience, location, and the complexity of data analysis tasks. Entry-level roles may start lower, while experienced analysts with advanced skills in data tools like SQL or Python can earn higher salaries.

What is the difference between Associate In Insurance Data Analytics vs Insurance Data Analyst?

AspectAssociate In Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsBachelor's degree in data science, statistics, or related field; certifications like CAP or CPCU beneficialBachelor's degree in data analysis, statistics, or related field; certifications like CAP or CPCU beneficial
Work EnvironmentEntry-level role in insurance companies or consulting firms, focusing on data collection and basic analysisMid-level role in insurance companies, analyzing data to support underwriting, claims, and risk assessment
Employer & Industry UsageCommonly used in insurance firms, agencies, and consulting firms for data support rolesUsed within insurance companies for data-driven decision making and reporting

The Associate In Insurance Data Analytics and Insurance Data Analyst roles share similar educational backgrounds and industry usage. However, the Associate role is typically entry-level, focusing on data collection and basic analysis, while the Insurance Data Analyst often has more experience and handles more complex data analysis tasks to support business decisions.

What are the key skills and qualifications needed to thrive as an Associate in Insurance Data Analytics, and why are they important?

To thrive as an Associate in Insurance Data Analytics, you need strong analytical skills, proficiency in statistics, and a background in insurance or finance, often supported by a relevant degree. Familiarity with data analysis tools like SQL, Python, R, and insurance-specific platforms or certifications such as the CPCU or AIDA is highly valued. Attention to detail, problem-solving abilities, and effective communication are critical soft skills for interpreting data and conveying insights to stakeholders. These skills are essential for transforming complex insurance data into actionable strategies that drive business decisions and risk management.

What are Associate In Insurance Data Analytics?

An Associate in Insurance Data Analytics is a professional who specializes in analyzing data within the insurance industry to help companies make informed decisions. They use statistical methods, data modeling, and business intelligence tools to derive insights about risk, customer behavior, and market trends. This role often requires knowledge of insurance processes, as well as technical skills in data analysis and interpretation. They play a key part in helping insurers optimize underwriting, pricing, claims, and customer experience.

What can you do with an associate's in data analytics?

An associate's in data analytics prepares individuals for roles such as data analyst or insurance data analyst, where they analyze data sets to identify trends and support decision-making. These roles often involve using tools like Excel, SQL, or data visualization software and may require understanding insurance industry data and basic statistical skills.

What does a data analyst do in insurance?

A data analyst in insurance collects, processes, and analyzes data related to policies, claims, and customer information to identify trends and support decision-making. They often use tools like Excel, SQL, and data visualization software to create reports and improve risk assessment, pricing, and fraud detection.
What are popular job titles related to Associate In Insurance Data Analytics jobs in Omaha, NE? For Associate In Insurance Data Analytics jobs in Omaha, NE, the most frequently searched job titles are:
What job categories do people searching Associate In Insurance Data Analytics jobs in Omaha, NE look for? The top searched job categories for Associate In Insurance Data Analytics jobs in Omaha, NE are:
Associate In Insurance Data Analytics jobs near you
Infographic showing various Associate In Insurance Data Analytics job openings in Omaha, NE as of July 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $72,213 per year, or $34.7 per hour.
Data and Analytics - AI Engineer II

Data and Analytics - AI Engineer II

WoodmenLife

Omaha, NE • On-site

$107K - $150K/yr

Full-time

Re-posted 16 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.

Apply