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Associate In Insurance Data Analytics Jobs in Omaha, NE

The Data Services Analyst delivers custom data solutions that help DMSi customers maximize the ... Build proficiency in DMSi's evolving product and integration ecosystem, including current and ...

The Data Services Analyst delivers custom data solutions that help DMSi customers maximize the ... Build proficiency in DMSi's evolving product and integration ecosystem, including current and ...

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

New

Utilize data mining and analytics/AI methods to generate key insights into prospects, such as gaps ... Insurance Industry experience required * At least 5+ years of experience in the same or related ...

... specialized insurers. Our success is a direct reflection of the talented and diverse people who ... Bachelor's degree in Information Systems, Computer Science, Data Analytics, Business Analytics, or ...

Build analytical frameworks. Present complex findings to executive stakeholders in compelling ... Foster Data-Driven Culture Train and mentor stakeholders on analytical thinking and data ...

Showing results 41-60

Associate In Insurance Data Analytics information

See Omaha, NE salary details

$3.1K

$6K

$8.6K

How much do associate in insurance data analytics jobs pay per month?

As of Aug 9, 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.

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?

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 is an 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 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:
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 81% In-person, and 19% Remote job distribution, with an average salary of $72,213 per year, or $34.7 per hour.

$84K - $111K/yr

Full-time

Medical, Dental, Life, Retirement

Re-posted yesterday


Physicians Mutual rating

9.4

Company rating: 9.4 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

15th of 304 rated insurance


Job description

Overview

Physicians Mutual is seeking a Senior Performance Analyst to help shape the future of our Policyowner Services organization. This is a unique opportunity to build and enhance operational analytics, reporting and performance insights that directly influence customer experience, service quality and business outcomes.

As a strategic partner to operational leadership, you will transform complex data into actionable insights, identify performance drivers and develop reporting solutions that enable data-driven decision-making across the organization. If you enjoy creating dashboards from scratch, uncovering root causes and telling compelling stories with data, we'd like to hear from you.

Responsibilities
  • Analyze operational performance data to identify trends, performance drivers and opportunities to improve service, efficiency and customer experience.
  • Conduct root cause analysis and provide actionable recommendations that support operational and strategic decision making.
  • Build and maintain dashboards, reports and data visualizations using Tableau, Power BI and other reporting tools.
  • Partner with leaders and cross-functional teams to communicate insights, measure results and support continuous improvement initiatives.

What Success Looks Like

  • Build impactful reporting and dashboards that improve organizational visibility.
  • Deliver actionable insights that influence operational strategy.
  • Identify opportunities that improve efficiency and customer experience.
  • Become a trusted advisor to leadership through strong analytics and communication skills.
  • Help establish a more proactive, data-driven approach to performance management.
Qualifications

Required

  • Bachelor's degree in Business, Finance, Economics, Statistics, Data Analytics or a related field, or an equivalent combination of education and experience.
  • 4-7 years of experience in data analysis, performance analytics, business intelligence or operational reporting.
  • Experience analyzing operational performance metrics and translating data into business recommendations.
  • Advanced Microsoft Excel skills, including data analysis and reporting.
  • Experience with business intelligence and visualization platforms such as Tableau, Power BI or similar tools.
  • Strong analytical, problem-solving and root cause analysis capabilities.
  • Exceptional communication skills with the ability to present insights to both technical and non-technical audiences.
  • Ability to manage multiple priorities while working independently.

Preferred

  • Experience supporting customer service, contact center, insurance, financial services or other service-oriented operations.
  • SQL or data querying experience.
  • Experience integrating data from multiple business systems.
  • Professional certifications in business intelligence or analytics platforms.
  • Experience with process improvement methodologies such as Lean or Six Sigma.
About Us

Health. Life. Retirement. The Physicians Mutual family empowers people from all walks of life to enjoy the financial security they deserve. That's what Insurance for all of us is about.

The Physicians Mutual family includes Physicians Mutual Insurance Company, Physicians Life Insurance Company and Physicians Select Insurance Company. Physicians Mutual offers reliable dental and supplemental health insurance, and pet insurance. Physicians Life provides important life insurance, Medicare Supplement insurance and coverage for funeral pre-planning. Physicians Select Insurance Company additionally offers exclusive Medicare Supplement insurance.

Since our start in 1902, our dedication to delivering on our promise has helped make us one of the nation's leading health and life insurance providers. In fact, we are rated in the top 1% of insurance companies. We consistently maintain some of the highest financial strength ratings in the nation from independent insurance analysts, including A.M. Best Company and Weiss Ratings, ensuring we'll be there for our policyowners and our employees far into the future.

But the achievement we're most proud of? We have a 95% customer satisfaction rating - a true sign of a company dedicated to embodying its vision.

Employment Type: FULL_TIME

What Physicians Mutual employees say

Hours and flexibility

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