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Remote Insurance Data Analytics Jobs in Nebraska

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

Data Engineer

Omaha, NE · On-site +1

$109.50K - $131.50K/yr

Prepare data for predictive and prescriptive modeling deploying analytics programs, machine ... remote support.

Data Engineer - Healthcare

Lincoln, NE · Remote

$99.70K - $119.70K/yr

Assess complex data sets and conduct root cause analysis. * Experience using data to improve ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

... Insurance Group (CSAA IG), a AAA insurer, is one of the leading personal lines property and ... Strategic Analysis & Decision Support * Lead structured problem solving in ambiguous contexts ...

Familiarity with Medi-Cal and Commercial insurance claim * Strong analytical and problem-solving ... The company processes millions of claims and multiples of related structured and unstructured data ...

Familiarity with Medi-Cal and Commercial insurance claim * Strong analytical and problem-solving ... The company processes millions of claims and multiples of related structured and unstructured data ...

This position is fully remote, and shifts are available during EST through PST hours. The selected ... Analyzing data using spreadsheets to determine campaign criteria, deliverable volumes, and pricing

Data Engineer II

Lincoln, NE · Remote

$99.70K - $119.70K/yr

Remote (U.S.-based) About Pearson Virtual Schools At Pearson Virtual Schools (PVS), we are ... You will partner closely with data engineers, analysts, and business stakeholders to develop ...

... Insurance Group (CSAA IG), a AAA insurer, is one of the leading personal lines property and ... Strong data analytical skills * Defining high-level application and data-related requirements

$119.70K - $158.10K/yr

... ML, analytics) to improve experience quality and efficiency. * Leads continuous enhancement of CSAA digital experiences, balancing user feedback, performance data, and business objectives.

... Insurance Group (CSAA IG), a AAA insurer, is one of the leading personal lines property and ... Analyze bid data and support supplier selection Data, Systems & Process Improvement * Maintain ...

Remote Categories: Information Technology Join Mutual of Omaha as were looking for a Data Science ... A Graduate degree in an analytical field (Math, Stats, CS, BI etc.) and 2+ years of experience in ...

United States (Remote) Interested applicants must reside in one of the following approved states ... Your work will enable trusted data products, analytics, operational reporting, and future AI use ...

Data Engineer with Security Clearance

Omaha, NE · On-site +1

$109.50K - $131.50K/yr

Prepare data for predictive and prescriptive modeling deploying analytics programs, machine ... limited remote support. EEO Commitment All qualified applicants will receive consideration for ...

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Remote Insurance Data Analytics information

What are the key skills and qualifications needed to thrive as a Remote Insurance Data Analytics professional, and why are they important?

To excel in Remote Insurance Data Analytics, you need strong analytical skills, a background in statistics or mathematics, and typically a degree in data science, actuarial science, or a related field. Familiarity with data analysis tools like SQL, Python, R, and specialized insurance analytics platforms such as SAS or Tableau, as well as relevant certifications, is highly valuable. Attention to detail, problem-solving abilities, and effective communication set candidates apart in this role. These skills are crucial for transforming complex insurance data into actionable insights that drive informed business decisions and risk assessments.

How do Remote Insurance Data Analytics professionals typically collaborate with cross-functional teams to drive business insights?

Remote Insurance Data Analytics professionals often work closely with underwriters, actuaries, claims managers, and IT teams to gather data requirements, interpret findings, and implement data-driven solutions. Collaboration usually happens through virtual meetings, collaborative dashboards, and project management tools to ensure clear communication and alignment on objectives. This cross-functional approach helps identify trends, optimize risk assessments, and support strategic decision-making within the organization. Building strong relationships with team members across departments is key to successfully translating analytical results into actionable business strategies.

What is remote insurance data analytics?

Remote insurance data analytics is the practice of analyzing insurance-related data, such as claims, risk assessments, and customer information, from a location outside of a traditional office setting. Professionals in this field use statistical methods, data mining, and machine learning tools to identify patterns, detect fraud, and help insurance companies make data-driven decisions. This remote role often requires proficiency in data analysis tools like SQL, Python, or R, and a strong understanding of insurance industry concepts. Remote insurance data analysts collaborate with teams virtually to provide insights and support business strategies, making it a flexible career option.

What is the difference between Remote Insurance Data Analytics vs Remote Insurance Underwriter?

AspectRemote Insurance Data AnalyticsRemote Insurance Underwriter
Required CredentialsBachelor's in Data Science, Statistics, or related field; often certifications in data analysis or analyticsBachelor's in Business, Finance, or related; often requires insurance licensing or certifications
Work EnvironmentPrimarily data analysis, modeling, and reporting; often collaborative with IT and actuarial teamsAssessing risks, reviewing applications, making underwriting decisions; involves communication with agents and clients
Employer & Industry UsageUsed across insurance companies, reinsurers, and brokers for data-driven decision makingUsed by insurance carriers to evaluate and approve policies

Remote Insurance Data Analytics focuses on analyzing insurance data to inform business decisions, while Remote Insurance Underwriters evaluate individual insurance applications to determine coverage. Both roles are essential in the insurance industry but differ in daily tasks and required skills.

What are the most commonly searched types of Insurance Data Analytics jobs in Nebraska? The most popular types of Insurance Data Analytics jobs in Nebraska are:
What are popular job titles related to Remote Insurance Data Analytics jobs in Nebraska? For Remote Insurance Data Analytics jobs in Nebraska, the most frequently searched job titles are:
What job categories do people searching Remote Insurance Data Analytics jobs in Nebraska look for? The top searched job categories for Remote Insurance Data Analytics jobs in Nebraska are:
What cities in Nebraska are hiring for Remote Insurance Data Analytics jobs? Cities in Nebraska with the most Remote Insurance Data Analytics job openings:
Infographic showing various Remote Insurance Data Analytics job openings in Nebraska as of May 2026, with employment types broken down into 70% Full Time, 20% Part Time, and 10% Contract. Highlights an 100% Remote job distribution.
Growth Hacker - Remote

Growth Hacker - Remote

EnthuZiastic

Bellevue, NE • Remote

Full-time

Posted 9 days ago


Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

This is a remote position.

User Acquisition:

  • Develop and execute strategies to acquire new users, customers, or leads through various channels, such as SEO, social media, content marketing, email marketing, and paid advertising.

Conversion Rate Optimization:

  • Identify areas of the user journey with conversion bottlenecks and devise experiments to optimize conversion rates, including A/B testing and landing page optimization.

Product Development:

  • Collaborate with product teams to improve user experience, optimize product features, and iterate based on user feedback to drive growth.

Customer Retention:

  • Develop strategies to increase customer retention and reduce churn through engagement, loyalty programs, and targeted communication.

Data Analysis:

  • Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance.

  • Use data-driven decisions to guide growth strategies and experiments.

Viral Marketing:

  • Create and implement strategies to encourage users to refer others to the product or service through viral marketing techniques.

Content Marketing:

  • Develop and distribute high-quality content that educates, informs, and engages the target audience, driving traffic and brand awareness.

Experimentation:

  • Plan and execute rapid, iterative experiments to test growth hypotheses and identify effective strategies.

  • Continuously refine and scale strategies based on experiment results.

Marketing Automation:

  • Implement marketing automation tools and workflows to streamline and personalize user communication and engagement.

Budget Management:

  • Manage and allocate budgets effectively across various growth channels, ensuring a positive return on investment.

Reporting and Analysis:

  • Provide regular reports on growth performance, including key metrics and insights to relevant stakeholders.
Requirements

Digital Marketing Expertise:

  • Proven experience in digital marketing, with a deep understanding of various marketing channels and tools.

Analytical Skills:

  • Strong analytical and data interpretation skills, including proficiency in data analysis tools and platforms.

Technical Proficiency:

  • Familiarity with marketing automation tools, A/B testing platforms, web analytics, and data visualization tools.

Creativity:

  • Ability to think creatively and develop unique strategies to achieve growth.

Communication Skills:

  • Effective communication skills for collaborating with cross-functional teams and presenting findings and strategies to stakeholders.

Entrepreneurial Mindset:

  • A proactive and entrepreneurial spirit with a willingness to take calculated risks and adapt to changes.

Adaptability:

  • Ability to stay updated with the latest trends in marketing and technology and adapt strategies accordingly.

Project Management:

  • Strong project management skills to handle multiple growth initiatives simultaneously.

Experience with Startups:

  • Experience working in a startup environment or high-growth company is often preferred.

Continuous Learning:

  • A commitment to ongoing learning and professional development in growth hacking.
Benefits
  • Opportunity to be a part of a dynamic growth focused tech startup.

  • Great learning opportunities to develop new skills and understanding of cutting edge software tools and processes.

  • Opportunity to work closely with serial tech entrepreneurs from Silicon Valley.

  • Fun-loving environment and caring team mates and inclusive culture of the company.