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

Drive Capital

Data Analyst

Austin, TX · On-site

$70 - $95/hr

... insurance, utilities, and more. Everything in home finance today caters to the transaction, the ... analytics platforms is a plus. * Clear Communicator: You can explain what you're seeing in a simple ...

VetsEZ

Data Engineer (Remote Opportunity)

Austin, TX · On-site +1

$113K - $136K/yr

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 ...

VetsEZ

Data Engineer (Remote Opportunity)

Austin, TX · On-site +1

$113K - $136K/yr

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 ...

HTC Global Services

Data Analyst 3

Austin, TX · On-site

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

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 ...

Guidehouse

Senior Data Analyst - Child Welfare

Austin, TX · On-site

$102K - $170K/yr

Assess and prepare data from multiple systems for analytics and reporting use cases * Design and ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

Guidehouse

Senior Data Analyst - Child Welfare

Austin, TX · On-site

$102K - $170K/yr

Assess and prepare data from multiple systems for analytics and reporting use cases * Design and ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

Lower LLC

Senior Analyst, Data and Analytics Team

Austin, TX · On-site

$85K - $107K/yr

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 · On-site

$85K - $107K/yr

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 ...

FALL CREEK FARM & NURSERY

Cloud Data Architect

Austin, TX · On-site

$94.73 - $142.29/hr

Our comprehensive benefits package includes 100% paid employee health insurance for full-time ... Systems Analyst VII Agency: Health & Human Services Comm Department: IT Data Analytics Support ...

Ci

Data Operations Analyst

Austin, TX

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 ...

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Insurance Data Analytics information

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How much do insurance data analytics jobs pay per hour?

As of Aug 28, 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 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 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.

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.

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.

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, 19% Part Time, and 6% Contract. Highlights an 84% Physical, 1% Hybrid, and 15% Remote job distribution, with an average salary of $112,872 per year, or $54.3 per hour.

Data Analyst

Austin, TX • On-site

Drive Capital
Investment Clubs and Venture Capital Companies • 11 - 50 employees
Learn more about Drive Capitalexternal

$70 - $95/hr

Other

Posted 9 days ago

Job description

About Abode Money

Abode Money is building the financial home for your home. Our mission is simple: Make homeownership more affordable for everyday homeowners. We automate the hard parts of managing and saving on homeownership costs like property taxes, insurance, utilities, and more. Everything in home finance today caters to the transaction, the home buyer or seller, while the homeowner is overlooked. With non‑mortgage costs up over 50% in the past five years, homeowners are struggling more today than ever before.

We have incredible backers, including Core VC, Drive Capital, Sequoia and 81 Collection.

Role

We’re looking for someone who is naturally curious about how products grow and why users behave the way they do. You’ll work closely with the growth team to analyze performance, explore product and funnel data, and help us understand what’s actually driving outcomes. This is a hands‑on role where you’ll contribute directly to decisions that shape the product and growth strategy.

If you enjoy digging into numbers, forming hypotheses, and figuring out what’s really going on beneath the surface, you’ll do well here.

Key Responsibilities
  • Funnel & Product Analysis: Use Mixpanel to explore user behavior across the funnel. Identify where users drop off, what drives conversion, and how product usage connects to growth.
  • Dashboarding & Visualization: Build and iterate on dashboards that make key metrics easy to understand and act on.
  • Exploration & Hypothesis Building: Dig into data to spot patterns, ask questions, and form hypotheses about what’s driving performance.
  • AI‑Integrated Workflows: Use tools like Claude and MCP‑powered workflows to accelerate analysis, generate reports, and experiment with lightweight forecasting.
  • Performance Insights: Surface trends, anomalies, and opportunities in growth and product data, and help translate them into action.
  • Sharing Learnings: Communicate findings clearly—whether that’s a quick insight, a pattern you noticed, or a deeper analysis.
Qualifications
  • Data‑Driven by Default: You naturally look to data to understand how things work and make decisions.
  • Curiosity & First‑Principles Thinking: You’re interested in the “why” behind metrics—user behavior, psychology, and incentives.
  • Self‑Starter: You don’t wait for perfect instructions. You explore, ask questions, and follow threads on your own.
  • AI‑Native Workflow: You’ve used tools like Claude to think through problems, analyze information, or automate parts of your workflow.
  • Technical Comfort: Comfortable working with data and learning new tools quickly; exposure to Mixpanel or similar analytics platforms is a plus.
  • Clear Communicator: You can explain what you’re seeing in a simple, direct way.
Why This Role

This is an opportunity to develop a deep understanding of how a startup operates through data. You’ll work on defining and interpreting core KPIs, analyzing funnel and product metrics, and contributing to decisions that shape growth and product direction. Over time, you’ll build strong intuition for how metrics connect to user behavior and business outcomes.

You’ll have meaningful ownership over your work, operating closely with the team and contributing to decisions that directly impact the trajectory of the company.

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