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Associate In Insurance Data Analytics Jobs in Nebraska

WoodmenLife

Data and Analytics - AI Engineer II

Omaha, NE · On-site +1

$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 · On-site

$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

Wayne, NE · On-site

$79K - $99K/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

Hastings, NE

$83K - $105K/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

Lincoln, NE · On-site

$74K - $94K/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

Sidney, NE · On-site

$87K - $110K/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

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

Scottsbluff, NE

$91K - $115K/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

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

Valentine, NE · On-site

$74K - $93K/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 ...

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All JobsAssociate In Insurance Data Analytics JobsAssociate In Insurance Data Analytics Jobs in Nebraska

Associate In Insurance Data Analytics information

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.
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What cities in Nebraska are hiring for Associate In Insurance Data Analytics jobs? Cities in Nebraska with the most Associate In Insurance Data Analytics job openings:
Associate In Insurance Data Analytics jobs near you
Infographic showing various Associate In Insurance Data Analytics job openings in Nebraska as of July 2026, with employment types broken down into 93% Full Time, and 7% Contract. Highlights an 86% In-person, and 14% Remote job distribution.

Data Analytics Developer

FMNE Insurance Company

Lincoln, NE • On-site

Full-time

Medical, Retirement

Posted 3 days ago

Job description

FMNE Insurance is seeking a Data Analytics Developer in our Actuarial Department. We’re looking for a highly analytical and solutions-oriented data professional who is passionate about transforming complex data into meaningful insights that support actuarial and business decision-making. The ideal candidate is collaborative, technically strong, and detail-focused, with the ability to manage multiple priorities, build trusted relationships across teams, and develop efficient, reliable data solutions. Join a stable, values-driven company with deep Midwest roots and a strong team-focused culture.

This position is not eligible for visa sponsorship. Applicants must be authorized to work in the United States on a full-time basis. Please submit a resume and cover letter for consideration.

We offer a competitive salary and a comprehensive benefits package, including health coverage, a generous 401(k), pension plan, wellness programs and a hybrid work model for eligible employees.

Role Overview of a Data Analytics Developer

The Data Analytics Developer is a critical member of the Actuarial team and is responsible for, but not limited to, the preparation, transformation, and integration of data for accurate and effective actuarial analyses. This role collaborates closely with Data Scientists, Actuarial Analysts, and other stakeholders to ensure data quality, reliability, and performance of solutions.

Responsibilities of a Data Analytics Developer
  • Demonstrates the Company’s mission, while successfully performing its core values related to integrity, service, excellence, stability, strength, respect, and teamwork.
  • Responsible for extracting, transforming, and loading (ETL/ELT) data to support actuarial analysis.
  • Perform data cleansing, transformation, and validation processes for data integrity and accuracy.
  • Create tables, views and stored procedures to support Actuarial processes.
  • Collaborate with the actuarial team to understand data requirements and provide accurate, timely data for pricing, reserving, and other actuarial functions.
  • Design, develop and maintain dashboards, reports and visualizations that empower stakeholders to make data-informed decisions and drive business outcomes.
  • Work in conjunction with the IT department to maintain up-to-date and optimized actuarial infrastructure.
  • Understand and work with colleagues to ensure continued compliance with data governance standards and security policies.
  • Maintain ETL processes, reports and dashboards.
  • Work closely with other departments to understand business needs.
  • Build and maintain trust with key stakeholders.
  • Regular and timely attendance in the office is an essential function of the position.
Skills and Qualifications of a Data Analytics Developer
  • Bachelor’s degree in MIS, Computer Science, or other analytical areas.
  • Minimum of three years of experience working with data.
  • Must possess strong SQL skills.
  • Knowledge of SQL Server, SSIS, SSRS, Power BI or equivalent.
  • Experience with Python and/or R.
  • Familiar with Azure data services including Azure Data Factory (ADF).
  • Strong ability and desire to use technology to solve complex problems.
  • Knowledge of data tools, techniques, and manipulation including cloud platforms, programming languages, and technology platforms.
  • Knowledge of insurance industry preferred.
  • Aptitude for solving complex problems and overcoming challenges, demonstrating resilience and adaptability in finding solutions.
  • Demonstrated success in addressing business needs with analytics.
  • Ability to manage multiple tasks at the same time in a dynamic environment.
  • Excellent oral and written communication skills, self-driven, and strong quantitative, analytical, and interpersonal skills.

FMNE Insurance Company recognizes that an individual with a disability may require accommodation to enable them to successfully perform a job function. Should you require such accommodation, please indicate the job function and suggested accommodation during the interview process. FMNE will attempt to make reasonable accommodation.

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