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Associate In Insurance Data Analytics Jobs in Omaha, NE

Amentum

Data Scientist - Expert

Omaha, NE · On-site

This role requires deep expertise in data analytics, artificial intelligence/machine learning (AI ... Eligible employees and their dependents may elect medical, dental, vision, and basic life insurance.

Pae

Data Scientist - Expert

Omaha, NE

This role requires deep expertise in data analytics, artificial intelligence/machine learning (AI ... Eligible employees and their dependents may elect medical, dental, vision, and basic life insurance.

Leidos

Data Analyst

Omaha, NE · On-site

This role requires expertise in data management, predictive analytics, visualization development, and analytical product generation to support mission-focused decision-making. Note: This position is ...

Leidos

Data Analyst

Omaha, NE · On-site

This role requires expertise in data management, predictive analytics, visualization development, and analytical product generation to support mission-focused decision-making. Note: This position is ...

Maximus

Data Coordination Analyst

Bellevue, NE · On-site

In this role, you will transform complex business data into actionable insights that drive decision ... Additionally, Maximus provides a variety of benefits to employees, including health insurance ...

Maximus

Data Coordination Analyst

Omaha, NE · On-site

In this role, you will transform complex business data into actionable insights that drive decision ... Additionally, Maximus provides a variety of benefits to employees, including health insurance ...

Leidos

Data Scientist

Omaha, NE

$107K - $195K/yr

Join Leidos as a Data Scientist and Help Drive Cutting-Edge Analytics Leidos is seeking a forward-thinking Data Scientist with a strong foundation in statistical analysis, data ingestion and ...

Leidos

Data Scientist

Omaha, NE · On-site

$107K - $195K/yr

Join Leidos as a Data Scientist and Help Drive Cutting-Edge Analytics Leidos is seeking a forward-thinking Data Scientist with a strong foundation in statistical analysis, data ingestion and ...

HDR

Business & Data Analyst

Omaha, NE · Hybrid

Bachelor's degree in Accounting, Finance or related field. * Working knowledge of data analytics, process automation and/or reporting software, such as Microsoft Power BI, Snowflake and Tableau ...

HDR

Business & Data Analyst

Omaha, NE · On-site

Bachelor's degree in Accounting, Finance or related field. * Working knowledge of data analytics, process automation and/or reporting software, such as Microsoft Power BI, Snowflake and Tableau ...

Cordova

Data Governance Lead

Omaha, NE

Bachelor's degree in Computer Science, Information Systems, Data Analytics/Science, or a related field. * Demonstrated experience in data governance, data management, or a closely related discipline ...

Amentum

Data Scientist - Expert

Omaha, NE · On-site

... in enhancing information-centric decision-making capabilities across ISR operations. The role involves applying advanced data science methodologies to integrate and analyze multi-INT data sources ...

Brookfield

Technical Data Analyst

Omaha, NE

Company Argo Group Argo Group is an underwriter of specialty insurance products in the property and ... Technical Data Analyst Employment Type: Full-Time FLSA Status: Exempt Location: In-Office Must be a ...

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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

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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 Scientist - Expert

Data Scientist - Expert

Amentum

Omaha, NE • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 25 days ago

Job description

This position is contingent upon award of contract, business needs, and funding availability.
The organization is seeking an Expert-Level Data Scientist at Offutt AFB, NE to support the Air Combat Command (ACC) in advancing information-centric decision-making capabilities across Intelligence, Surveillance, and Reconnaissance (ISR) operations. The selected candidate will apply advanced data science methodologies to integrate, analyze, and exploit multi-intelligence (multi-INT) data sources in support of mission-critical objectives.
This role requires deep expertise in data analytics, artificial intelligence/machine learning (AI/ML), predictive modeling, and data engineering, along with the ability to translate complex data into actionable intelligence products for both technical and non-technical stakeholders. The candidate will serve as a senior technical advisor and lead efforts to modernize analytic tradecraft through automation, advanced analytics, and enterprise data integration aligned with DoD and Intelligence Community (IC) standards.
Essential Responsibilities:
  • Perform advanced data analytics, data mining, and statistical analysis to uncover actionable insights.
  • Design and develop machine learning models, including recommendation engines and predictive systems, to streamline labor-intensive processes.
  • Build, validate, and deploy high-quality predictive models and analytical solutions.
  • Design and implement data architectures, structures, and systems to support mission requirements.
  • Support ISR operations, including SIGINT, cyber, targeting, weather, and PED processes.
  • Ensure data provenance, quality, consistency, and compliance with DoD and IC standards.
  • Develop and automate workflows for data processing, model training, and reporting.
  • Collaborate with cross-functional teams to support strategic and operational decision-making.
  • Ensure data quality, integrity, and governance across analytical workflows.
  • Advise leadership on data analytics strategies, AI/ML initiatives, and data standards.

Work Environment, Physical Demands, and Mental Demands:
This position supports sensitive programs and requires strict adherence to DoD, Air Force, and IC cybersecurity, information assurance, and intelligence oversight standards.
Minimum Requirements (Knowledge, Skills, and Abilities):
  • Candidates must meet all DOD Cyber Workforce Framework (DCWF) Training Code 423 Advanced proficiency requirements in accordance with DOD 8140.03
  • Demonstrated experience working with large-scale and complex datasets, including Multi-INT or similar data environments
  • Advanced proficiency in major data science programming languages including Python, R, and SQL
  • Deep Expertise in data visualization tools and applications, including Power BI and Tableau
  • Extensive experience managing and merging disparate data sources, preferably through R, Python, or SQL

Additional Requirements
  • Willingness to comply with all DoD, Air Force, and local security and conduct standards
  • Ability to complete required training and maintain qualifications throughout the contract
  • Availability for CONUS and OCONUS support as mission requirements dictate
  • Contractor-provided training and certification upkeep (unless Government-directed)
  • Ability to obtain and maintain required program, system, and facility access

Security Clearance Required: TS/SCI eligibility. A CI-scope polygraph examination may be required for some positions.
Minimum Education: Master's degree in data science, Computer Science, Engineering, Mathematics, Statistics, or related field, OR Bachelor's degree with 5 additional years of expert-level experience (total 20 years)
Minimum Years of Experience: 15 years of experience in data science, analytics, or related field; at least part of the required experience must be within the past two (2) years.
Required Certifications:
  • Must meet DoD 8140.02 / DoDM 8140.03 Cyberspace Workforce Qualification Requirements
  • Appropriate DCWF role alignment (e.g., Cyber Defense Analyst, ISSO, Network or Systems Security roles)
  • Certification eligibility prior to contract performance (tracked and reported per Government standards)

Preferred Qualifications:
  • Background in advanced analytics within intelligence, defense, or similar data-intensive domains
  • Experience in developing and deploying automated AI/ML solutions.
  • Familiarity with cloud-based data platforms (e.g., Azure, AWS, or GCP).
  • Experience with big data frameworks (e.g., Spark, Hadoop).
  • Strong written and verbal communication skills

Amentum's health and welfare benefits are designed to invest in you and in the things you care about. Your health. Your well-being. Your security. Your future. Eligible employees and their dependents may elect medical, dental, vision, and basic life insurance. Employees can enroll in our company's 401k plan, and, if eligible, a deferred compensation plan and Executive Deferral Plan. Employees will also receive 17 days of vacation per year, seven paid holidays, plus floating holidays and caregiver leave. Hired applicants will be able to purchase company stock and receive a performance discretionary bonus.
The base salary range for this position is $130k to $194k. This range reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
Other Responsibilities:
Safety - Amentum enforces a safety culture whereby all employees have the responsibility for continuously developing and maintaining a safe work environment. As appropriate, each employee is responsible for completing all training requirements and fulfilling all self-aid/buddy aid responsibilities, participating in emergency response tasks and serving on safety committees and teams.
Quality - Quality is the foundation for the management of our business and the keystone to our goal of customer satisfaction. It is our policy to consistently provide services that meet customer expectations. Accordingly, each employee must conform to the Amentum Quality Policy and carry out job activities in compliance with applicable Amentum Quality System documents and customer contracts. Each employee must read and understand his/her Quality Management and Customer Satisfaction responsibilities.
Procedure Compliance - Each employee must read, understand and implement the general and specific operational, safety, quality and environmental requirements of all plans, procedures and policies pertaining to his/her job. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.
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