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Associate In Insurance Data Analytics Jobs in Nebraska

Leidos

Data Analyst

Omaha, NE · On-site

This role requires expertise in data management, predictive analytics, visualization development, and analytical product generation to support mission-focused decision-making. Note: This position is ...

Leidos

Data Analyst

Omaha, NE

This role requires expertise in data management, predictive analytics, visualization development, and analytical product generation to support mission-focused decision-making. Note: This position is ...

Leidos

Data Scientist

Omaha, NE

$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 ...

Leidos

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 ...

HDR

Business & Data Analyst

Omaha, NE · Hybrid

Bachelor's degree in Accounting, Finance or related field. * Working knowledge of data analytics, process automation and/or reporting software, such as Microsoft Power BI, Snowflake and Tableau ...

HDR

Business & Data Analyst

Omaha, NE · On-site

Bachelor's degree in Accounting, Finance or related field. * Working knowledge of data analytics, process automation and/or reporting software, such as Microsoft Power BI, Snowflake and Tableau ...

Cordova

Data Governance Lead

Omaha, NE · On-site

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 ...

TELCOR Inc

Pre-Billing Data Entry Specialist

Lincoln, NE

$18.25 - $24.75/hr

... in corresponding requisition and patient demographic and insurance data, performing benefits ... Self-motivated, analytical, quick learner, organized, detail-oriented, multi-tasker, resilient ...

Amentum

Data Scientist - Expert

Omaha, NE · On-site

... in enhancing information-centric decision-making capabilities across ISR operations. The role involves applying advanced data science methodologies to integrate and analyze multi-INT data sources ...

TELCOR

Pre-Billing Data Entry Specialist

Lincoln, NE · On-site

$16.75 - $22.75/hr

... in corresponding requisition and patient demographic and insurance data, performing benefits ... Self-motivated, analytical, quick learner, organized, detail-oriented, multi-tasker, resilient ...

TEKsystems

Epic Clarity Data Analyst

Omaha, NE

$70 - $85/hr

Support enterprise analytics projects by integrating data from multiple sources. * Assist in ... Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term ...

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All JobsAssociate In Insurance Data Analytics JobsAssociate In Insurance Data Analytics Jobs in Nebraska

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.
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Associate In Insurance Data Analytics jobs near you
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.

Home Visiting Evaluation Specialist

Winnebago Comprehensive Healthcare System

Winnebago, NE • On-site

$27 - $30/hr

Full-time

Re-posted 18 days ago

Job description

Job Purpose & Position Overview:
The Data Analyst will support the Home Visiting Program by collecting, analyzing, interpreting, and reporting data to inform program improvement, measure outcomes, and support compliance with funder and regulatory requirements. This role plays a critical part in helping ensure that families served receive high-quality, effective support based on evidence-informed decisions.
Specific Job Duties/Responsibilities:
  • Demonstrates the Winnebago Tribe's core mission, vision, and values.
  • Demonstrates knowledge and/or expertise in early childhood and mental health
  • Establish and maintain effective working relationships with representatives from all community agencies that are impacted by the implementation of the grant.
  • Collect, clean, and manage data from multiple sources, including electronic health records, home visitor reports, and family surveys.
  • Develop dashboards and reports that track key performance indicators (KPIs), service delivery, and client outcomes.
  • Analyze program data to assess program effectiveness and identify trends or areas for improvement.
  • Collaborate with program staff to ensure accurate data entry and provide training as needed on data systems and best practices.
  • Prepare reports for funders, tribal/state/federal agencies, and internal stakeholders.
  • Assist with evaluation projects and research activities, including data extraction and visualization.
  • Ensure data privacy and security protocols are followed in compliance with HIPAA and agency policies.
  • Support quality improvement initiatives through data-informed decision-making.
  • Work closely with IT and software vendors to troubleshoot and enhance data collection systems.
  • Ensure compliance with the grant agreement, all applicable federal, state and other regulations listed in the grant award, and adhering to WCHS policies, and meet all grant deadlines
  • Ensures the project produces the specified results outlined in the strategic plan to the required standard of quality and within the timeline and budget parameters.

Qualifications/Skills:
  • Bachelor's degree in Public Health, Statistics, Data Science, Social Work, or a related field.
  • Must have a valid driver's license and must be able to meet driver's eligibility guidelines set forth by the Winnebago Tribe of Nebraska's insurance carrier to become an insured driver.
  • 2+ years of experience in data analysis, preferably in a public health, early childhood, or social service setting.
  • Proficiency in Excel, SQL, and data analysis tools such as R, Python, Tableau, or Power BI.
  • Experience working with home visiting models (e.g., Nurse-Family Partnership, PAT, HFA) is a plus.
  • Strong analytical, organizational, and problem-solving skills.
  • Excellent communication skills with the ability to explain data to non-technical audiences.
  • Cultural competency and a strong commitment to working with diverse families and communities.
  • Experience with data systems.
  • Familiarity with Indigenous communities or experience working in tribal health or family services.
  • Ability to work independently and manage multiple tasks in a fast-paced environment.
  • Must possess grammatical competence.
  • Must have excellent communication skills and organizational skills.
  • Excellent verbal and written skills, including strong organizational, detail and interpersonal skills.
  • Able to maintain confidentiality.
  • Local and national travel maybe required.
  • Ability to work independently, to work under supervision and to work in a team based and goal oriented environment.
  • Demonstrated project management skills, including facility in managing and prioritizing projects with multiple and often competing deadlines, and ability to work under pressure.
  • Must be able to pass pre-employment drug screen.
  • Pass a federal Background Check

Public Health Core Competencies for this Position
Public Health Sciences
  • Develops partnerships that will increase use of evidence in public health practice.

Analysis and Assessment
  • Use data to inform public health actions.

Leadership and Systems Thinking
  • Contributes to continuous improvement of individual, program and organizational performance.
  • Advocates for the role of public health in providing population health services
  • Collaborates with individuals and organizations in developing a vision for a healthy community.

Community Dimensions of Practice
  • Identify, establish and maintain community relationships and collaborate to improve community health.
  • Engage community members and utilize community input to inform and improve public health actions.

Policy Development and Program Planning
  • Evaluate and communicate the importance of public health policies and programs.

Communication and Cultural Competency
  • Gather input from and facilitate communication among individuals, groups, organizations and local government to improve community health
  • Assess the effects of public health policies, programs and services to ensure the diversity of populations and perspectives is addressed.

Training Requirements:
  • N/A

Physical Requirements:
  • Normal to light office work which includes the ability to lift up to 10 lbs.
  • Regularly required to walk, stand, and sit for extended periods of time and use hands to operate computer keyboard, phone, and various office equipment.

Cognitive Requirements:
  • Reading, writing, calculating
  • Above average social interaction skills
  • Reasoning/Analysis
  • Ability to work effectively both independently and as a team
  • Works with minimal to no supervision

Language Requirements:
  • Must possess the ability to read, write, and speak the English language fluently.
  • Must be able to continually and effectively employ professional verbal and written communications skills.

Certificates, Licenses & Registrations:
  • All applicants will comply with 45 CFR 1301, Subpart D, Section 1301.31, C and D, which require all prospective employees to sign a declaration prior to employment regarding all arrests and convictions of child abuse or violent felonies and to comply with PL 101-630 and PL 101-637 regarding criminal records check.

Please note the position description duties, responsibilities, and activities may change at any time with or without notice.
WCHS is an equal opportunity employer.
All applicants must comply with 45 CFR 1301, Subpart D, Section 1301.31 C and D, which require all prospective employees to sign a declaration prior to employment regarding all arrests and convictions of child abuse or violent felonies and comply with PL 101-630 and PL 101-637 regarding criminal records check. As provided by Federal Law, all qualified Native American and Veteran applicants shall receive preference over Non-Native American applicants. In the absence of qualified Native American applicants, consideration will be given to all other applicants without regard to race, color, religion, gender, gender orientation/identity, national origin, age, marital status, veteran status, genetic information, disability or any other reason prohibited by law in provision of employment opportunities and benefits. WCHS participates in E-Verify.

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