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Associate In Insurance Data Analytics Jobs in Omaha, NE

Senior Data Analyst

Gretna, NE

$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 ...

Senior Data Analyst

Omaha, NE

$82K - $103K/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 ...

Graduate degree in Mathematics, Statistics, Engineering, or other STEM field with 6-8 years of experience in insurance industry or related industry in a data science/analytics environment. * PhD in ...

Data Analyst

Omaha, NE · On-site

$23.75 - $27.50/hr

We are looking for a detail-oriented Data Analyst to support a long-term contract assignment within ... In this role, you will help maintain accurate contract and customer service data by reviewing ...

Data Scientist

Omaha, NE · On-site

$107K - $195K/yr

Join Leidos as a Data Scientist and Help Drive Cutting-Edge Analytics Leidos is seeking a forward-thinking Data Scientist with a strong foundation in statistical analysis, data ingestion and ...

Data Scientist

Omaha, NE · On-site

$107K - $195K/yr

Join Leidos as a Data Scientist and Help Drive Cutting-Edge Analytics Leidos is seeking a forward-thinking Data Scientist with a strong foundation in statistical analysis, data ingestion and ...

We take pride in supporting our nation's most critical missions while creating an environment where ... life insurance-because taking care of you enables you to take care of the mission.Position ...

Bachelor's degree in Computer Science, Information Systems, Data Analytics/Science, or a related field. * Demonstrated experience in data governance, data management, or a closely related discipline ...

... key role in the growth of a new, firmwide analytics function * Understanding of data ... Full-time employees receive benefits including: medical and dental coverage; life insurance; short ...

... key role in the growth of a new, firmwide analytics function * Understanding of data ... Full-time employees receive benefits including: medical and dental coverage; life insurance; short ...

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 ...

Showing results 21-40

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.

$80K - $101K/yr

Full-time

Medical, Dental, Vision, Retirement

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ALLO Fiber rating

7.5

Company rating: 7.5 out of 10

Based on 38 frontline employees who took The Breakroom Quiz

48th of 97 rated telecommunications companies


Job description

At ALLO, we believe people are our biggest asset. Our team brings the ALLO mission to life because as local members of each community, we live, work, play, and volunteer right here with you. We're passionate about being involved and contributing to the success and progress of each of our GIG Communities.
We pursue these passions because ALLO leaders have created a workplace where folks are valued, ideas are heard, and leaders and teammates show up for each other at work and in life.

The Senior Data Analyst is a highly analytical and business-savvy individual contributor who acts as an internal expert and strategic partner to various business units. This role focuses on tackling complex business challenges by leveraging data for decision-making and delivering actionable analytical solutions. The Senior Data Analyst works closely with stakeholders to address assigned projects, guiding them through a data-driven process and often leading the technical execution of analytical work by collaborating with data engineers, data scientists, and other data analysts. A key part of this role is not only delivering insights but also proactively identifying and implementing process improvements to enhance efficiency and effectiveness. This is a critical role for driving data literacy and adoption throughout the company.

RESPONSIBILITIES:

  • Business Problem Framing & Solution Definition:

    • Proactively engage with business stakeholders (e.g., Marketing, Sales, Product, Operations, Finance) to understand their objectives, challenges, and data needs for assigned projects.

    • Translate vague business questions into clear, measurable analytical problems and hypotheses.

    • Scope and define analytical projects, outlining objectives, deliverables, timelines, and required resources.

    • Recommend the most appropriate analytical approaches and methodologies (e.g., descriptive, diagnostic, predictive, prescriptive analytics).

  • Data Analysis & Insight Generation:

    • Conduct in-depth data analysis using various tools and techniques to uncover trends, patterns, and insights.

    • Develop compelling narratives around data findings and present insights in a clear, concise, and actionable manner to diverse audiences.

    • Utilize advanced analytical techniques (e.g., statistical analysis, A/B testing design, segmentation) to answer critical business questions.

  • Stakeholder Engagement & Relationship Management:

    • Build strong, trusted relationships with business leaders and team members across the organization.

    • Facilitate workshops and discussions to gather requirements and validate analytical outputs.

    • Champion data-driven decision-making and enhance data literacy within business units.

    • Manage expectations and communicate progress, challenges, and outcomes effectively.

  • Tooling & Best Practices:

    • Stay abreast of industry trends, new analytical tools, and methodologies.

    • Advise on the selection and effective use of analytics and AI tools (e.g., BI platforms, statistical software, latest models and features).

    • Contribute to the continuous improvement of analytical processes and best practices within the Data & Analytics department.

EDUCATION/EXPERIENCE:

  • Bachelor's degree in Statistics, Mathematics, Data Science, Computer Science or a related quantitative field. Master's degree preferred.

  • 3+ years of experience in an analytical role, such as a Senior or Lead Data Analyst, Senior or Lead Business Analyst, or Data Scientist with a strong focus on stakeholder engagement and solution delivery.

SKILLS / KNOWLEDGE / ABILITIES:

  • Proven ability to translate complex business problems into analytical requirements and deliver actionable insights.

  • Strong proficiency in SQL for data extraction, manipulation, and analysis.

  • Experience with scripting languages for data analysis (e.g., Python, R).

  • Experience with data visualization and dashboarding in Looker.

  • Familiarity with AI agents and their role in delivering data analysis to non-technical stakeholders.

  • Demonstrated experience with statistical analysis and data interpretation.

  • Excellent communication, presentation, and storytelling skills, with the ability to articulate complex data insights to non-technical audiences.

  • Strong project management skills, with the ability to manage multiple priorities and deadlines.

  • Self-starter with a proactive approach to identifying and solving business problems.

  • Desire to be a team-player whether partnering with other data analysts or working with internal stakeholders.

  • Preferred qualifications:

    • Familiarity with GCP cloud data platforms and data warehousing concepts.

    • Experience with A/B testing design and analysis.

    • Experience with building and tuning custom AI models for analytics and reporting.

    • Previous experience in a consulting role (internal or external).

REQUIREMENTS:

  • Remain stationary for extended periods

  • Ability to communicate information

  • Ability to operate a computer

People are our passion. At ALLO, we don't treat you like a number. You're a human being.

Get ready to plug into the perks at ALLO:

  • Free internet? You bet. Plus, awesome discounts on other ALLO services.

  • Retirement Plan: The fiber future isn't the only one we care about. We match your 401(k) savings up to 5%.

  • Health and Wellness: Participate in quarterly wellness challenges, and we'll deposit extra cash into your checking or health savings accounts.

  • Benefits: Our benefits include medical, vision, and dental with low employee costs. Not to mention generous Earned Time Off (ETO) program.

  • Sponsorships: Are you passionate about a local fundraiser or philanthropy? We strive to give back to what matters most to our communities.

  • Tuition Assistance: Have a thirst for knowledge? We like that, which is why we're proud to offer assistance with the cost of your tuition.

ALLO is an Equal Opportunity Employer. We are committed to providing opportunities to all applicants and associates without regard to race, color, religion, sex, pregnancy, national origin, age, disability, marital status, sexual orientation, gender identity, military and veteran status, and any other characteristic protected by applicable law. ALLO believes that diversity and inclusion within our team is critical to our success as a company. We seek to recruit, develop, and retain the most talented people.

Benefit eligibility depends on the position and employment status. The available benefits differ for interns, contingent workers, and part-time team members.

Qualified individuals with disabilities who require reasonable accommodations in order to apply may contact Recruiting at recruiting@allofiber.com.

ALLO is a Drug Free and Tobacco Free Workplace.


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