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Assistant Insurance Data Analytics Jobs in Nebraska

Monitise

Capacity Planner Data Analyst

Omaha, NE

Bachelor's degree in Data Analytics, Statistics, Mathematics, Industrial Engineering, Business ... Medical, dental, vision, life, and disability insurance options available from day one.

CSAA

Responsible for coordinating, analyzing, and submitting regulatory data requests from state insurance departments, the National Association of Insurance Commissioners (NAIC), and other regulatory ...

CSAA

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data ... Beyond delivering high-impact analytics, this person will help strengthen CSAA's internal ...

HUB

Cross-Sell Data Analyst, Dynamics 365

Omaha, NE · On-site

$80K - $110K/yr

HUB is a global insurance and employee benefits broker, providing a boundaryless array of business ... Utilize data mining and analytics/AI methods to generate key insights into prospects, such as gaps ...

Kemper

Senior Data Systems Analyst

Omaha, NE · On-site

Insurance industry experience (P&C and/or Life Insurance). * Experience supporting enterprise data ... Experience using reporting and analytics tools such as Power BI * Experience working with XML, JSON ...

Cordova

Data Engineer

Omaha, NE · On-site

$109K - $131K/yr

Act as a Subject Matter Expert (SME) to assist in creating practical development plans and ... Analytical Background: A background in mathematical and statistical analysis is highly preferred to ...

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All JobsInsurance Data Analytics JobsAssistant Insurance Data Analytics JobsAssistant Insurance Data Analytics Jobs in Nebraska

Assistant Insurance Data Analytics information

What is the difference between Assistant Insurance Data Analytics vs Insurance Data Analyst?

AspectAssistant Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsTypically an associate degree or relevant certificationBachelor's degree in data analysis, statistics, or related field
Work EnvironmentSupportive team, entry-level tasks, supervisedMore independent analysis, project ownership
Employer & Industry UsageInsurance companies, supporting rolesInsurance firms, leading data projects
Common Search & ComparisonEntry-level support roleAdvanced data analysis position

In summary, Assistant Insurance Data Analytics roles are entry-level positions supporting data teams, often requiring less experience and focusing on assisting with data tasks. Insurance Data Analysts typically have more experience, handle complex analysis independently, and lead projects within insurance companies.

What does an assistant insurance data analytics do in insurance?

An assistant insurance data analyst supports data collection, cleaning, and analysis to help assess risk, determine pricing, and improve underwriting processes. They often use tools like Excel, SQL, or data visualization software and work closely with underwriters and actuaries to interpret data insights for decision-making.
What are the most commonly searched types of Insurance Data Analytics jobs in Nebraska? The most popular types of Insurance Data Analytics jobs in Nebraska are:
Assistant Insurance Data Analytics jobs near you

Data Analyst (journeyman) with Security Clearance

Spiral Solutions and Technologies, Inc.

Bellevue, NE • On-site

Other

Medical, Dental, Vision, Life, Retirement

Posted 16 days ago

Job description

Job Description Position Overview Spiral Solutions & Technologies, Inc. (SS&T) is seeking a Data Analyst to support the United States Strategic Command (USSTRATCOM) Joint Exercises, Training, and Assessment Directorate (J7). The Data Analyst supports USSTRATCOM/J7 assessment activities through structured data design, management, analysis, and visualization in support of campaign, risk, operations, and Joint Force assessments. The selected candidate will apply expertise in large, complex datasets, Business Intelligence tools, Python, R, SQL, and machine learning to develop analytical products, dashboards, and decision-support outputs for senior leaders and assessment stakeholders. Requirements Key Responsibilities • Build and manage structured data systems to ensure accuracy, maintainability, scalability, and secure access. • Execute automated monitoring of intelligence, diplomatic, open-source information, after-action reports, and component inputs, and provide analytical insights on global trends, risks, and opportunities. • Create tools and dashboards to support decision-making. • Collaborate in iterative cycles to ensure analytics deliverables align with evolving requirements and priorities. • Gather input from stakeholders to refine tools, reports, and workflows for improved usability and relevance. • Develop graphic user interfaces and connectors that enable seamless interaction between data repositories and visualization platforms. • Generate clear, tailored reports and disseminate results across multiple organizational levels to inform strategic decisions. • Apply statistical methods, machine learning, and advanced analytics to identify patterns, generate forecasts, and support data-driven decision-making. • Assess available datasets, identify opportunities, and apply emerging analytical techniques and visualization methods to uncover new insights and enhance decision-making. • Identify, collect, analyze, and enter data in support of competition, planning in crisis, combat, risk, exercise, and other-directed assessments. • Utilize artificial intelligence and machine learning tools to augment analysis and contribute to continuous improvement of assessment processes, tools, and products. Required Qualifications • At least 7 years of experience designing and implementing data collection strategies, management, and in-depth analysis of large, complex datasets. • Demonstrated ability to lead projects. • A bachelor's degree or higher. • Expertise in Python, R, Business Intelligence tools, and data cleaning and wrangling. • Proficient in Structured Query Language database management. • Familiarity with Agile methodologies, including contributing to sprint planning, backlog grooming, and retrospectives. • Direct experience developing Machine Learning models required. • U.S. citizenship required. Preferred Qualifications • Experience developing dashboards, connectors, and decision-support tools for strategic assessment environments. • Experience integrating intelligence, diplomatic, open-source, or after-action data into analytical workflows. Experience supporting Combatant Command, Joint Staff, or other senior-level defense assessment organizations Summary Benefits include: Medical Dental Vision Employer paid life insurance Voluntary life insurance 401K Flexible spending accounts Employee Assistance program Short- and long-term disability Home | Spiral Solutions & Technologies, Inc. (ssandtech.com) Equal Opportunity Employer: Spiral Solutions and Technologies, Inc. provides equal employment opportunities to all employees and applicants for employment. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local law

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