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

Brookfield

P&C Data Analyst

Omaha, NE · On-site

Key Responsibilities Pricing & Insurance Analytics * Support pricing analyses, rate reviews ... Support data science and predictive modeling initiatives through data preparation, feature ...

Brookfield

Sr P&C Data Scientist

Omaha, NE

The Senior P&C Data Scientist owns the development and improvement of analytical models and ... Key Responsibilities Pricing & Insurance Analytics * Develop, refine, and maintain analytical ...

WoodmenLife

Data and Analytics - AI Engineer II

Omaha, NE · On-site +1

$107K - $150K/yr

Data & Analytics Location: Home Office (Hybrid - Omaha, NE preferred) Role Overview How This Role ... This is the Life (WoodmenLife) As a not-for-profit life insurance company, WoodmenLife is devoted ...

The Garrett Group

Data Analyst - JETARS

NE · On-site

... life insurance-because taking care of you enables you to take care of the mission.Position OverviewThe GARRETT GROUP is seeking an experienced Data Analyst to support advanced analytical, data ...

Brookfield

Technical Data Analyst

Omaha, NE · On-site

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 ...

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.

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How much do insurance data analytics jobs pay per hour?

As of Aug 9, 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 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.

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.

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.

Is data analytics a high paying job?

Data analytics roles, including those in insurance data analytics, are generally considered well-paying compared to many other entry-level positions. Salaries vary based on experience, skills, and location, but professionals with expertise in tools like SQL, Python, or R often earn competitive wages and have strong job growth prospects.

How much does an insurance data analyst make?

The average salary for an insurance data analyst typically ranges from $60,000 to $90,000 annually, depending on experience, location, and industry. Professionals with advanced skills in data visualization, statistical analysis, and tools like SQL or Python may earn higher salaries, especially in larger organizations or metropolitan areas.

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 popular job titles related to Insurance Data Analytics jobs in Omaha, NE? For Insurance Data Analytics jobs in Omaha, NE, the most frequently searched job titles are:
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:
Insurance Data Analytics jobs near you
Infographic showing various Insurance Data Analytics job openings in Omaha, NE as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, and 5% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $108,934 per year, or $52.4 per hour.

P&C Data Analyst

American National Insurance Company

Omaha, NE • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 18 days ago

American National Insurance rating

7.4

Company rating: 7.4 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

225th of 304 rated insurance

Job description

Company
Farm Family
Farm Family specializes in farm and ranch protection with a wide range of products including flexible farm packages, business owner policies, commercial package, workers compensation, commercial auto and select personal auto coverage. Farm Family is a leader in serving the Northeast and Mid-Atlantic markets and is pursuing growth across the U.S. The Farm Family entities are wholly-owned subsidiaries of Clearbrook Group Holdings Inc.
Job Description
The P&C Data Analyst supports the development and improvement of analytical models and insights that inform pricing, underwriting, and portfolio management decisions. This role applies data analysis techniques to insurance data to improve risk segmentation and rate adequacy, supporting profitable growth across products and locations.
The P&C Data Analyst works closely with pricing actuaries, underwriting, claims, distribution, product partners, data experts, and IT professionals to translate business questions into analytical solutions and monitor performance over time. This role operates with moderate independence while receiving guidance on more complex problems.
Key Responsibilities
Pricing & Insurance Analytics
  • Support pricing analyses, rate reviews, segmentation evaluations, portfolio monitoring, and performance assessments across Personal and Commercial Lines products
  • Analyze trends in frequency, severity, retention, growth, profitability, and other key insurance performance metrics
  • Partner with actuarial, underwriting, and product teams to identify business challenges and develop data-driven recommendations
  • Assist in evaluating the impact of underwriting, pricing, and product changes on business performance
  • Develop recurring and ad hoc analyses that support strategic and operational decision-making

Data & Technical Skills
  • Work with large, structured and semi-structured datasets using SQL and analytical programming languages (e.g., Python or R)
  • Ensure data quality, reproducibility, and proper documentation of models, assumptions, and results
  • Support adherence to model development best practices and model risk governance standards

Advanced Analytics & Data Science Support
  • Support data science and predictive modeling initiatives through data preparation, feature development, exploratory analysis, and model performance reporting
  • Collaborate with data scientists and actuarial partners on analytical projects involving risk segmentation, predictive modeling, and portfolio optimization
  • Develop foundational skills in statistical analysis, predictive modeling, and analytical programming
  • Participate in testing, monitoring, and implementation of analytical models and business rules
  • Contribute to the evaluation of new data sources and analytical techniques that improve pricing and underwriting decisions

Business Partnership & Communication
  • Collaborate with actuarial, underwriting, distribution, and product stakeholders to define analytical questions and success criteria
  • Translate technical analyses into clear, actionable insights using appropriate visualizations and written summaries
  • Respond to feedback and iterate on analyses to better support business decisions
  • Partner with technical teams to support implementation of analytical and reporting solutions

Continuous Improvement
  • Identify opportunities to improve reporting processes, data quality, analytical efficiency, and business insights
  • Stay current on industry trends, pricing methodologies, and analytical best practices within P&C insurance
  • Contribute ideas for improving models, processes, and data usage within the pricing analytics function

Required Qualifications
  • Bachelor's degree in mathematics, statistics, actuarial science, computer science, data science, or a related quantitative field
  • Two to four years of relevant experience in data science, analytics, actuarial support, or related quantitative roles
    • A master's degree may be considered in lieu of one to two years of experience
  • Proficiency in analytical programming languages and tools (e.g., SQL, Python, R)
  • Experience working with large, complex datasets
  • Strong analytical thinking, problem-solving, and communication skills
  • Strong diligence and commitment to data quality

Preferred Qualifications
  • Experience in Property & Casualty insurance, preferably supporting actuarial, underwriting, claims, or product
  • Familiarity with statistical analysis, predictive modeling, or machine learning concepts
  • Experience with data lineage, data mapping, validation, and reconciliation processes
  • Exposure to cloud-based analytics platforms and modern data environments
  • Understanding of insurance data structures, coverages, rating variables, and policy lifecycle processes
  • Experience working in Agile or cross-functional project environments

The base salary range provided below is for hires in those geographic areas only and will be commensurate with candidate experience. Pay ranges for candidates in other locations may differ based on the cost of labor in that location.
Omaha Pay Range $65,000 - $90,000
Albany & Chicago Pay Range $68,000 - $95,000
New York City Pay Range $70,000 - $98,000
PLEASE NOTE:
Applicants must be legally authorized to work in the United States. At this time, we are not able to sponsor or assume sponsorship of employment visas.
If you have a disability under the Americans with Disabilities Act or similar state or local law and you wish to discuss potential reasonable accommodations related to applying for employment with us, please contact our Benefits Department at 210-321-8400.
Benefits and Compensation
We offer a competitive compensation package, performance-based incentives, and a comprehensive benefits program-including health, dental, vision, 401(k) with company match, paid time off, and professional development opportunities.
Core Values
At Clearbrook our Core Values are Integrity, Collaboration, Pursuit of Excellence and Forward Thinking. These values reflect who we are today and who we apsire to be - guiding how we work, how we lead and how we succeed.

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