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Insurance Data Analytics Jobs in Omaha, NE (NOW HIRING)

Data Quality Specialist

Omaha, NE ยท Remote

$55 - $65/hr

Description Seeking a Data Quality Analyst to establish and advance data quality practices that ... Insurance (Voluntary Life & AD&D for the employee and dependents) โ€ข Short and long-term ...

Senior Decision Support Analyst

Omaha, NE ยท Remote

$81K - $101K/yr

Master's degree in business, finance, accounting, healthcare, data analytics or a related field ... insurance, revenue cycle preferred. * Experience with business intelligence platforms such as ...

Senior Decision Support Analyst

Omaha, NE ยท On-site

$81K - $101K/yr

Master's degree in business, finance, accounting, healthcare, data analytics or a related field ... insurance, revenue cycle preferred. * Experience with business intelligence platforms such as ...

CAT Modeling Analyst

Omaha, NE ยท On-site

$75 - $115/hr

Bachelor's degree in Math, Statistics, Actuarial Science, Data Analytics, or a related field. * Two or more years of property catastrophe modeling experience in the insurance or reinsurance industry.

... data analytics, preferably within financial services, insurance, or annuity back office operations, and visualization using tools such as PowerBI, Qlik or Tableau. * Demonstrated experience ...

Bachelor's degree in Math, Statistics, Actuarial Science, Data Analytics, or a related field. * Two or more years of property catastrophe modeling experience in the insurance or reinsurance industry.

Showing results 41-60

Insurance Data Analytics information

See Omaha, NE salary details

$23

$52

$90

How much do insurance data analytics jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for insurance data analytics in Omaha, NE is $52.37, according to ZipRecruiter salary data. Most workers in this role earn between $42.07 and $59.33 per hour, depending on experience, location, and employer.

What is insurance data analytics?

An Insurance Data Analytics job involves analyzing large volumes of insurance-related data to identify trends, assess risks, detect fraud, and improve decision-making. Professionals in this field use statistical models, machine learning, and data visualization tools to extract insights that help insurers optimize pricing, enhance customer experience, and reduce losses. They work with claims data, policyholder information, and external data sources to drive business strategy. Strong analytical skills, proficiency in data tools like SQL, Python, or R, and knowledge of insurance principles are essential for success in this role.

What are the typical responsibilities of someone working in insurance data analytics?

Professionals in Insurance Data Analytics are responsible for collecting, cleaning, and analyzing large sets of insurance-related data to identify trends, assess risk, and inform business decisions. They commonly develop predictive models, generate reports, and provide actionable insights that help underwriting teams, actuarial staff, and business leaders optimize processes or pricing strategies. Day-to-day tasks may also include collaborating with IT and business units to define data requirements, presenting findings to non-technical stakeholders, and ensuring data integrity. This role often involves a mix of independent analysis and team-oriented projects, offering a dynamic and engaging work environment for problem solvers.

What are the key skills and qualifications needed to thrive in insurance data analytics?

To thrive in Insurance Data Analytics, you need a solid understanding of data analysis, statistics, and insurance industry concepts, usually supported by a degree in mathematics, statistics, finance, or a related field. Proficiency with analytical tools like SQL, Python, R, and data visualization platforms (such as Tableau or Power BI), as well as certifications like CPCU or advanced analytics credentials, are highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts translate complex data into actionable business insights. These skills are crucial for driving informed decision-making, risk assessment, and operational improvements within insurance organizations.

How is data analytics used in insurance?

In insurance, data analytics is used by professionals to assess risk, set premiums, detect fraud, and improve customer segmentation. Analysts utilize tools like statistical models and machine learning algorithms to interpret large datasets, enabling more accurate underwriting and claims management. Strong analytical skills and knowledge of data visualization are essential for effective decision-making in this field.

What does a data analyst do in insurance?

An insurance data analyst examines large datasets to identify trends, assess risk, and support decision-making processes within insurance companies. They use tools like Excel, SQL, and data visualization software to interpret claims, policy data, and customer information, helping improve underwriting, pricing, and fraud detection.

What job categories do people searching Insurance Data Analytics jobs in Omaha, NE look for?

The top searched job categories for Insurance Data Analytics jobs in Omaha, NE are:

Infographic showing various Insurance Data Analytics job openings in Omaha, NE as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $108,934 per year, or $52.4 per hour.

Database/Programming/ Visualization Analyst, Senior with Security Clearance

USfalcon

Offutt Air Force Base, NE โ€ข On-site

$81K - $102K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago


Job description

Job Category: Space and Cyber Requisition Number: DATAB003415 USfalconโ€ฏis seekingโ€ฏa Database, Programming, and Visualization Analyst, Seniorโ€ฏto supportโ€ฏUSSTRATCOMโ€ฏat Offutt AFB,โ€ฏNE.โ€ฏโ€ฏโ€ฏ  JOBโ€ฏSUMMARY:โ€ฏ  The Database, Programming, and Visualization Analyst, Senior provides advanced technical support to USSTRATCOM/J7 General, Campaign, and Strategic Assessments by designing, developing,โ€ฏoperating, and administering the structured data, application, and visualization environment that underpins assessment and analytics activities. This position applies extensive experience in database design and development, application architecture, multi-language software development, Agile team participation, and Artificial Intelligence/Machine Learning data support to enable scalable analytics and decision-support capabilities.  ESSENTIAL DUTIES:โ€ฏโ€ฏ  * Build and manage structured data systems to ensure accuracy, maintainability, scalability, and secure access in support of USSTRATCOM assessment activities. 
* Design, develop, and manage databases supporting analytics and Machine Learning operations, including tables, indexes, triggers, and stored procedures.
* Provide application architecture support and Windows/Internet Information Services (IIS) server administration for assessment and analytics tools and related applications.
* Create tools and dashboards to support decision-making and generate clear, tailored reports that can beโ€ฏdisseminatedโ€ฏacross multiple organizational levels to inform seniorโ€ฏleaderโ€ฏdecisions.
* Develop graphic user interfaces and connectors that enable seamless interaction between data repositories and visualization platforms.
* Integrate data sources, design and implement new features,โ€ฏmonitorโ€ฏfunctionality, resolve issues, apply updates, andโ€ฏmaintainโ€ฏdata accuracy, integrity, and security within dashboard and analytics platforms.
* Apply statistical methods, Machine Learning, and advanced analytics toโ€ฏidentifyโ€ฏpatterns, generate forecasts, and support data-driven decision-making.โ€ฏ
* Assess available datasets,โ€ฏidentifyโ€ฏopportunities, and apply emerging analytical techniques and visualization methods to uncover new insights and enhance decision-making for campaign, risk, and operations assessments.
* Collaborate in iterative cycles, ensuring analytics deliverables align with evolving requirements and priorities, and gather stakeholder input to refine tools, reports, and workflows for improved usability and relevance.
* Lead or contribute to Agile teams, including participation in sprint planning, backlog grooming, and retrospectives, to deliver analytics and visualization capabilitiesโ€ฏin accordance withโ€ฏUSSTRATCOM/J7 priorities.
* Provide ongoing technical support, training, and documentation for databases, applications, dashboards, and visualization tools supporting USSTRATCOM/J7 assessments and data and analyticsโ€ฏtasks. 
REQUIRED QUALIFICATIONS:โ€ฏ  * At least 10 years of database design and development experience, including tables, indexes, triggers, and stored procedures.
* Minimum of 3 years of application architecture experience and Windows/Internet Information Services (IIS) server administration.
* Minimum of 7 years of development experience in JavaScript, C#, Python, Visual Basic for Applications, and other languages asโ€ฏrequired, including front-end and back-end web development and Visual Basic for Applications development using Office suite tools such as Excel, Word, and Access.
* At least 3 years of experience as a database administrator.
* At least 3 yearsโ€™ experience leading or contributing to Agile teams, including sprint planning, backlog grooming, and retrospectives.
* Proven experience designing and managing databases that support Artificial Intelligence/Machine Learning operations, including preparing data for model training, ensuring dataโ€ฏquality, andโ€ฏenabling scalable pipelines for analytics and Machine Learning deployment. 
PREFERRED QUALIFICATIONS:โ€ฏ  * Experience supporting campaign, contingency, or exercise assessments at the Combatant Command, Joint Staff, or serviceโ€ฏcomponentโ€ฏlevel.
* Experience developing commanderโ€™s estimates, mission analysis products, or senior-level assessment briefings. 
* Experience working with strategic deterrence assessment frameworks, operations assessment processes, or campaign plan analysis.โ€ฏ 
EDUCATION/CERTIFICATION:โ€ฏโ€ฏ  * Bachelorโ€™s degree in data science, computer science, data analytics, business analytics, management information systems, statistics, applied mathematics, and/or applied physics, or an equivalent field.โ€ฏ 
REQUIRED CLEARANCE:โ€ฏTop Secret/SCI  TRAVEL:โ€ฏTBDโ€ฏ  Benefits Offered: medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, EAP, parental leave, pet insurance, paid time off, and holidays. USfalconโ€ฏhas grown from our roots in 1984 to become a mid-tier professional services company supporting a diverse and global customer base of DoD and Federal Agencies. We have been excellingโ€ฏinโ€ฏdiverse platforms for almost 30 years and continue to be an industry leader. If you thrive in an organization that values integrity, commitment, stewardship, and service, we want to meet you.โ€ฏ We deliver core capabilities in Aviation, Space, Information Technology, and Business Operations and continue to grow and expand our competencies,โ€ฏcontractsโ€ฏand customer base, adding to our long history of supporting customer and community needs. Learn more atโ€ฏwww.usfalcon.com/history.