ZipRecruiter

Log In

1

Insurance Data Analytics Jobs in Texas (NOW HIRING)

Hippo Insurance

Data Analyst

Austin, TX · On-site

Insurance, healthcare, or regulated industry experience * Familiarity with HR or operations analytics * Exposure to data governance or compliance reporting * Proven experience leveraging AI to ...

Computer Futures

Health Insurance Analyst

Dallas, TX · On-site

$19.75 - $27/hr

Qualifications Amysis Medicare, medicaid SQL (oracle) Demonstrated analytics Background in Analytics within healthcare insurance ( Data, Configuration, or Enrollment) Compliments the team and ...

Hp

Senior AI & Data Analytics

Spring, TX · On-site

$116K - $182K/yr

Senior AI & Data Analytics Description - Job Summary This role is responsible for overseeing the ... Dental insurance * Vision insurance * Long term/short term disability insurance * Employee ...

Prophecy Technologies

Data Modeler

Dallas, TX · On-site

$54.25 - $70.25/hr

... analytical and investigative ability for modellings. Ideal member will develop knowledge of our insurance data and how it is used. Will grow to be a Subject Matter Expert for Leg mod /Call center ...

previous pagenext page

Showing results 21-40

All JobsInsurance Data Analytics JobsInsurance Data Analytics Jobs in Texas

Insurance Data Analytics information

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 Texas?

The most popular types of Insurance Data Analytics jobs in Texas are:

What are popular job titles related to Insurance Data Analytics jobs in Texas?

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

What job categories do people searching Insurance Data Analytics jobs in Texas look for?

The top searched job categories for Insurance Data Analytics jobs in Texas are:

What cities in Texas are hiring for Insurance Data Analytics jobs?

Cities in Texas with the most Insurance Data Analytics job openings:

Insurance Data Analytics jobs near you
Infographic showing various Insurance Data Analytics job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, and 5% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution.

Data Analyst

Hippo Insurance

Austin, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 7 days ago

Key responsibilities

  • Partner with stakeholders to define KPIs, design dashboards, and translate data into actionable insights.

  • Build Tableau dashboards and SQL queries to answer specific business questions and support operational decisions.

  • Present findings to stakeholders, validate data quality, and support stakeholder adoption of analytics solutions.

Job description

Title:Data Analyst

Location: Austin, TX (Hybrid, 2 days a week, Tue & Wed)

Reporting to: Sr. Manager, Owned Program Analytics

About Hippo: 

Hippo was built on a promise: make homeownership effortless. Nearly a decade later, that mission still drives us. We use technology and data to help our customers stay ahead of problems and protect what matters most.   

Today, that same tech-native approach powers our work beyond homeowners. Hippo operates as a diversified carrier platform, partnering with MGAs to deliver tailored program solutions that help them grow and deliver better customer experiences. Behind that work is a team that values ownership, curiosity, collaboration, and continuous improvement.  

If you're energized by building what's next, we'd love to meet you.  

About the Role: 

Hippo's shared services organization is scaling, and we need an analyst who can own analytics for critical operational areas and tell a compelling story with data. In this role, you will partner with the Analytics Lead and operational teams to design dashboards, uncover insights, and drive decisions. 

You will take ownership of your analytics verticals from the ground up - defining what we measure, building the dashboards, and translating data into actionable business insights. You'll present findings directly to the stakeholders and operational leaders. This is not a supporting role; you own the narrative and drive business conversations with data. 

Reporting to Sr Manager, Data & Analytics, you'll have autonomy to shape how shared services uses data to optimize operations. 

About You:

Are you a data analyst who wants to work in a fast growing InsurTech company where shared services touches nearly every function at Hippo. Right now, critical questions go unanswered: How are we retaining agents? What's driving retention in certain states or roles? What's our actual office utilization? Are HR processes working as designed? 

This data analyst will change that. You will unlock visibility into operations, support strategic decisions, and demonstrate the value of analytics to the business. 

You're someone who: 

  • Gets excited about uncovering insights in data and sharing them with others
  • Doesn't wait to be told what to do - you see the gap and fill it
  • Takes pride in accuracy and clarity
  • Views ambiguity as an opportunity, not an obstacle
  • Wants to grow your analytics skills and build expertise in a function that matters  

What You'll Do:

Own Your Analytics Verticals  

  • Take full ownership of assigned domains
  • Define KPIs and metrics with stakeholders; design dashboards from requirements through delivery
  • Build Tableau dashboards and SQL queries that answer specific business questions
  • Present findings to stakeholders, and operational teams; translate data into recommendations
  • Identify and pursue analytics opportunities proactively
  • Maintain dashboards, validate data quality, and support stakeholder adoption
  • Conduct stakeholder interviews to understand business needs
  • Define scope and approach for new analytics initiatives
  • Communicate back to stakeholders in clear, business-friendly language 

Collaboration & Learning  

  • Partner on complex analytics questions
  • Contribute to team standards and best practices
  • Share learnings and insights across the analytics function 

Must Haves:

  • 6+ years of data analytics experience
  • Bachelor's degree in STEM
  • SQL proficiency - can write efficient queries against databases/data warehouses
  • Tableau (or similar BI tool) - comfortable building dashboards from scratch
  • Self-starter mindset - takes initiative to identify opportunities, gathers requirements without being asked, doesn't need handholding
  • Excellent communication skills
  • Storyteller - can present data insights clearly to non-technical audiences, explains 'why' not just 'what,' connects findings to business recommendations
  • Analytical problem-solving - comfortable scoping ambiguous problems and recommending approaches
  • Attention to detail - data quality and accuracy matter; you catch inconsistencies 

Preferred Qualifications: 

  • Insurance, healthcare, or regulated industry experience
  • Familiarity with HR or operations analytics
  • Exposure to data governance or compliance reporting
  • Proven experience leveraging AI to automate job functions
  • Experience presenting to senior leadership  

Benefits and Perks:

Hippo treats its team members with the same level of dedication and care as we do our customers, which is why we're fortunate to provide all of our Hippos with: 

  • Healthy Hippos Benefits - Multiple medical plans to choose from and 100% employer covered dental & vision plans for our team members and their families. We also offer a 401(k)-retirement plan, short & long-term disability, employer-paid life insurance, Flexible Spending Accounts (FSA) for health and dependent care, and an Employee Assistance Program (EAP) 
  • Equity - This position is eligible for equity compensation  
  • Training and Career Growth - Training and internal career growth opportunities 
  • Flexible Time Off - You know when and how you should recharge 
  • Little Hippos Program - We offer 12 weeks of parental leave for primary and secondary caregivers 
  • Hippo Habitat - Snacks and drinks available and catered lunches for onsite employees

Hippo is an equal opportunity employer, and we are committed to building a team culture that celebrates diversity and inclusion. Hippo's applicants are considered solely based on their qualifications, without regard to an applicant's disability or need for accommodation. Any Hippo applicant who requires reasonable accommodations during the application process should contact the Hippo's People Team to make the need for an accommodation known. 

Apply