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Associate In Insurance Data Analytics Jobs in Omaha, NE

Deloitte

GFS Reporting and Analytics Manager

Omaha, NE · On-site

Manage analysts and senior analysts while overseeing deliverables, scope, and quality * Gather ... In this role, you can help improve how finance data is reported, automated, and used to support ...

Nationalindemnity

FP&A Analyst I

Omaha, NE · On-site

The activities include but are not limited to insurance data collection, data transfers, data ... Assists in the development of financial models and forecasts that support the company's strategic ...

Firstnational

Director, Data Analysis

Omaha, NE · On-site

$97K - $166K/yr

Serve as a subject matter expert in data, reporting, and analytics both to internal team members ... Medical, Dental, Vision Insurance * 401k, With Matching Contributions * Time Off Programs * Health ...

New

National Indemnity Company

FP&A Analyst I

Omaha, NE · On-site

The activities include but are not limited to insurance data collection, data transfers, data ... Assists in the development of financial models and forecasts that support the company's strategic ...

Peraton

Data Scientist (SME)

Offutt Air Force Base, NE · On-site

$135K - $216K/yr

The Data Scientist will play a critical role in leveraging advanced data analytics, machine learning, and statistical modeling to support Intelligence, Surveillance, and Reconnaissance (ISR ...

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Associate In Insurance Data Analytics information

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

As of Jul 14, 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.

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.
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:
Associate In Insurance Data Analytics jobs near you
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 86% In-person, and 14% Remote job distribution, with an average salary of $72,213 per year, or $34.7 per hour.
GFS Reporting and Analytics Manager

GFS Reporting and Analytics Manager

Deloitte

Omaha, NE • On-site

Other

Re-posted 19 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 90 frontline employees who took The Breakroom Quiz

60th of 148 rated financial services

Job description

Deloitte Global connects professionals across businesses and borders to advance enterprise priorities. As a Manager, Reporting & Analytics, you will lead reporting solutions that improve decision-making, automation, and operational insight across Global Finance Services.
Recruiting for this role ends on 06/20/2026.

Work you'll do

As a Manager, Reporting & Analytics on the Reporting & Analytics Shared Operations team, you will:

  • Lead reporting and analytics projects that enhance platform capabilities and automation
  • Manage analysts and senior analysts while overseeing deliverables, scope, and quality
  • Gather requirements and advise stakeholders on solution options, risks, and tradeoffs
  • Build reporting solutions using Tableau, Power BI, SQL, Azure technologies, Python, and R
  • Identify process improvements and technology opportunities that support business needs

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Global Finance Services delivers technology-enabled finance solutions that promote consistency, compliance, and efficiency across Deloitte's global network. In this role, you can help improve how finance data is reported, automated, and used to support enterprise decisions. This team description is adapted from your source posting's Global Finance Services language .

Qualifications

Required:

  • Bachelor's degree or equivalent data analytics and visualization work experience
  • 5+ years of experience in reporting, analytics, or data visualization
  • Experience with Microsoft Office, SQL, Tableau, and/or Power BI
  • Experience with financial metrics, including profit and loss reporting
  • Experience with Azure technologies, Python, R, or Scala
  • Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Experience leading reporting or analytics projects
  • Experience managing analysts or senior analysts
  • Experience supporting stakeholders in a cross-functional environment
Qualifications:

Deloitte Global connects professionals across businesses and borders to advance enterprise priorities. As a Manager, Reporting & Analytics, you will lead reporting solutions that improve decision-making, automation, and operational insight across Global Finance Services.
Recruiting for this role ends on 06/20/2026.

Work you'll do

As a Manager, Reporting & Analytics on the Reporting & Analytics Shared Operations team, you will:

  • Lead reporting and analytics projects that enhance platform capabilities and automation
  • Manage analysts and senior analysts while overseeing deliverables, scope, and quality
  • Gather requirements and advise stakeholders on solution options, risks, and tradeoffs
  • Build reporting solutions using Tableau, Power BI, SQL, Azure technologies, Python, and R
  • Identify process improvements and technology opportunities that support business needs

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Global Finance Services delivers technology-enabled finance solutions that promote consistency, compliance, and efficiency across Deloitte's global network. In this role, you can help improve how finance data is reported, automated, and used to support enterprise decisions. This team description is adapted from your source posting's Global Finance Services language .

Qualifications

Required:

  • Bachelor's degree or equivalent data analytics and visualization work experience
  • 5+ years of experience in reporting, analytics, or data visualization
  • Experience with Microsoft Office, SQL, Tableau, and/or Power BI
  • Experience with financial metrics, including profit and loss reporting
  • Experience with Azure technologies, Python, R, or Scala
  • Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Experience leading reporting or analytics projects
  • Experience managing analysts or senior analysts
  • Experience supporting stakeholders in a cross-functional environment
Education:Bachelor's DegreeEmployment Type:

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