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Associate In Insurance Data Analytics Jobs in Nebraska

Senior Data Analyst

Kearney, NE

$81K - $102K/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

Springfield, NE

$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 ...

Senior Data Analyst

Lincoln, NE

$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 ...

Senior Data Analyst

Imperial, 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 ...

Senior Data Analyst

Seward, NE

$79K - $100K/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

Norfolk, NE

$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 ...

Senior Data Analyst

Ralston, NE

$77K - $98K/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

York, NE

$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 ...

Senior Data Analyst

Fremont, NE

$82K - $104K/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

Papillion, NE

$79K - $100K/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

La Vista, 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

Grand Island, NE

$85K - $108K/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 ...

... analysis, regression to machine learning) in a variety of environments using structured and ... life, and disability insurance, as well as a comprehensive leave program. Please click the ...

... analysis, regression to machine learning) in a variety of environments using structured and ... life, and disability insurance, as well as a comprehensive leave program. Please click the ...

This role requires deep expertise in data analytics, artificial intelligence/machine learning (AI ... Eligible employees and their dependents may elect medical, dental, vision, and basic life insurance.

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Showing results 1-20

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.
What are popular job titles related to Associate In Insurance Data Analytics jobs in Nebraska? For Associate In Insurance Data Analytics jobs in Nebraska, the most frequently searched job titles are:
What job categories do people searching Associate In Insurance Data Analytics jobs in Nebraska look for? The top searched job categories for Associate In Insurance Data Analytics jobs in Nebraska are:
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:
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.
Senior Data Analyst

$81K - $102K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 8 days ago


ALLO Fiber rating

7.2

Company rating: 7.2 out of 10

Based on 36 frontline employees who took The Breakroom Quiz

48th of 82 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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