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Insurance Data Analytics Jobs in Austin, TX (NOW HIRING)

VetsEZ

Data Engineer (Remote Opportunity)

Austin, TX · Remote

$113K - $136K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Develop and support data analytics and reporting solutions using Power BI. * Ensure data quality ... Medical, Dental, and Vision Insurance. * 401(k) with Employer Match. * Paid Time Off (PTO) and ...

Guidehouse

Data Scientist, Consultant (Utilities)

Austin, TX

$89K - $148K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Perform data analysis and develop analytical solutions using tools such as Python, R, Snowflake ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

HTC Global Services Inc

Data Analyst 3

Austin, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Identify data gaps, errors, anomalies, inconsistencies, and redundancies by analyzing data content ... insurance, Professional Development opportunities, Wellness programs, and a variety of other perks.

HTC Global Services

Data Analyst 3

Austin, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Identify data gaps, errors, anomalies, inconsistencies, and redundancies by analyzing data content ... insurance, Professional Development opportunities, Wellness programs, and a variety of other perks.

Optimal

Marketing Data Analyst

Austin, TX · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We started with web tracking and attribution (Google Analytics, Google Tag Manager), then moved ... Health insurance (including dental and vision) * Flex Spending Plan * Employee Assistance Program ...

Lower LLC

Senior Analyst, Data and Analytics Team

Austin, TX · On-site

$85K - $107K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Who you are: * 3+ years working in analytics or a data-driven role * SQL skills that go beyond copy ... Extended benefit offerings including medical/dental/vision, parental leave, life insurance, short ...

Lower LLC

Senior Analyst, Data and Analytics Team

Austin, TX

$85K - $107K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Who you are: * 3+ years working in analytics or a data-driven role * SQL skills that go beyond copy ... Extended benefit offerings including medical/dental/vision, parental leave, life insurance, short ...

Arcadis

Business Data Analyst

Austin, TX · On-site

$80K - $105K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Role description: A data analyst collects, cleans, and interprets complex datasets to help ... These benefits include medical, dental, and vision, EAP, 401K, STD, LTD, AD&D, life insurance, paid ...

Ci

Data Operations Analyst

Austin, TX

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Qualifications * 2-3+ years of experience in data science or analytics roles. * Background in ... Employer paid Dental, Vision & Life and AD&D Insurance * Employer paid Short-term & Long-term ...

Arcadis

Business Data Analyst

Austin, TX · On-site

$80K - $105K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Role description: A data analyst collects, cleans, and interprets complex datasets to help ... These benefits include medical, dental, and vision, EAP, 401K, STD, LTD, AD&D, life insurance, paid ...

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All JobsInsurance Data Analytics JobsInsurance Data Analytics Jobs in Austin, TX

Insurance Data Analytics information

See Austin, TX salary details

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How much do insurance data analytics jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for insurance data analytics in Austin, TX is $54.27, according to ZipRecruiter salary data. Most workers in this role earn between $43.61 and $61.49 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in insurance data analytics?

To thrive in Insurance Data Analytics, you need a solid understanding of data analysis, statistics, and insurance industry concepts, usually supported by a degree in mathematics, statistics, finance, or a related field. Proficiency with analytical tools like SQL, Python, R, and data visualization platforms (such as Tableau or Power BI), as well as certifications like CPCU or advanced analytics credentials, are highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts translate complex data into actionable business insights. These skills are crucial for driving informed decision-making, risk assessment, and operational improvements within insurance organizations.

What are the typical responsibilities of someone working in insurance data analytics?

Professionals in Insurance Data Analytics are responsible for collecting, cleaning, and analyzing large sets of insurance-related data to identify trends, assess risk, and inform business decisions. They commonly develop predictive models, generate reports, and provide actionable insights that help underwriting teams, actuarial staff, and business leaders optimize processes or pricing strategies. Day-to-day tasks may also include collaborating with IT and business units to define data requirements, presenting findings to non-technical stakeholders, and ensuring data integrity. This role often involves a mix of independent analysis and team-oriented projects, offering a dynamic and engaging work environment for problem solvers.

How is data analytics used in insurance?

In insurance, data analytics is used by professionals to assess risk, set premiums, detect fraud, and improve customer segmentation. Analysts utilize tools like statistical models and machine learning algorithms to interpret large datasets, enabling more accurate underwriting and claims management. Strong analytical skills and knowledge of data visualization are essential for effective decision-making in this field.

What does a data analyst do in insurance?

An insurance data analyst examines large datasets to identify trends, assess risk, and support decision-making processes within insurance companies. They use tools like Excel, SQL, and data visualization software to interpret claims, policy data, and customer information, helping improve underwriting, pricing, and fraud detection.

Is data analytics a high paying job?

Data analytics roles, including those in insurance data analytics, are generally considered well-paying compared to many other entry-level positions. Salaries vary based on experience, skills, and location, but professionals with expertise in tools like SQL, Python, or R often earn competitive wages and have strong job growth prospects.

How much does an insurance data analyst make?

The average salary for an insurance data analyst typically ranges from $60,000 to $90,000 annually, depending on experience, location, and industry. Professionals with advanced skills in data visualization, statistical analysis, and tools like SQL or Python may earn higher salaries, especially in larger organizations or metropolitan areas.

What is insurance data analytics?

An Insurance Data Analytics job involves analyzing large volumes of insurance-related data to identify trends, assess risks, detect fraud, and improve decision-making. Professionals in this field use statistical models, machine learning, and data visualization tools to extract insights that help insurers optimize pricing, enhance customer experience, and reduce losses. They work with claims data, policyholder information, and external data sources to drive business strategy. Strong analytical skills, proficiency in data tools like SQL, Python, or R, and knowledge of insurance principles are essential for success in this role.

What are the most commonly searched types of Insurance Data Analytics jobs in Austin, TX?

The most popular types of Insurance Data Analytics jobs in Austin, TX are:

What are popular job titles related to Insurance Data Analytics jobs in Austin, TX?

For Insurance Data Analytics jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Insurance Data Analytics jobs in Austin, TX look for?

The top searched job categories for Insurance Data Analytics jobs in Austin, TX are:

What cities near Austin, TX are hiring for Insurance Data Analytics jobs?

Cities near Austin, TX with the most Insurance Data Analytics job openings:

Insurance Data Analytics jobs near you
Infographic showing various Insurance Data Analytics job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 20% Part Time, and 5% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $112,872 per year, or $54.3 per hour.

Data Engineer (Remote Opportunity)

VetsEZ

Austin, TX • Remote

$113K - $136K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted yesterday

Job description

We are currently looking for a Data Engineer for a 100% remote position on a large federal government project. This role focuses on designing, developing, and maintaining scalable data solutions that support healthcare operations, analytics, reporting, and data-driven decision-making.

The engineer will work within a collaborative environment to build and optimize data pipelines, integrate data from multiple sources, and support cloud-based data platforms. The ideal candidate is a hands-on data professional with experience developing ETL/ELT processes, managing large-scale datasets, and implementing secure, reliable data solutions that support mission-critical healthcare systems.

The candidate must reside within the continental US.

Responsibilities

  • Design, develop, and maintain scalable data pipelines and ETL processes.
  • Build and optimize data solutions within Azure cloud environments, including Azure Synapse and Azure Data Factory.
  • Integrate data from multiple sources through APIs and other system integration methods.
  • Develop and support data analytics and reporting solutions using Power BI.
  • Ensure data quality, integrity, security, and performance across data platforms.
  • Collaborate with stakeholders to gather requirements and deliver data-driven solutions supporting healthcare and VA initiatives.
  • Manage and track development activities using Agile methodologies and tools such as Jira.
  • Take on additional tasks and responsibilities as needed to support team objectives and ensure the success of the project.

    Requirements

    • Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Science, or a related field.
    • 4+ years of experience designing, developing, and supporting data engineering solutions in enterprise data and analytics environments.
    • Experience developing data solutions using Python, Spark, SQL, ETL processes, and data warehousing technologies.
    • Experience with GitHub, data integration, and data analytics solutions.
    • Experience supporting data analytics initiatives within enterprise IT environments.
    • Experience supporting Federal government programs and consulting engagements.
    • Proficiency with Microsoft Word, Excel, PowerPoint, and Visio.
    • Strong organizational, analytical, and stakeholder management skills, with the ability to manage multiple priorities in a fast-paced environment.

      Additional Qualifications

      • Experience supporting healthcare organizations, federal agencies, or Veterans Affairs (VA) programs.
      • Familiarity with VA platforms and technologies, including CX Insights, Lighthouse APIs, Medallia, or similar veteran-facing systems.
      • Experience integrating enterprise applications and data sources through APIs and other system integration methods.
      • Knowledge of Azure cloud-native services and modern data platform architectures.
      • Experience using Jira or similar Agile project management and collaboration tools.

      Security Clearance Requirements

      • U.S. Citizenship is required.
      • Must be eligible to obtain and maintain a Government clearance.
      Benefits:
      • Medical, Dental, and Vision Insurance.
      • 401(k) with Employer Match.
      • Paid Time Off (PTO) and Federal Holidays.
      • Corporate Laptop.
      • Professional Development and Training Opportunities.
      • 100% Remote Opportunity.

      Note: Selected candidates will be required to complete fingerprinting at a government facility and undergo a background check as part of the hiring process.

      VetsEZ is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status.

      Sorry, we are unable to offer sponsorship at this time.

      Apply