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

Meds

Entry Level Data Analyst

Austin, TX · On-site

Advanced Analytics: Move beyond descriptive stats to conduct deep-dive analyses on customer ... Insurance. * 401K with company match. * Paid time off and company-paid holidays * Enjoy free daily ...

Meds

Entry Level Data Analyst

Austin, TX

Advanced Analytics: Move beyond descriptive stats to conduct deep-dive analyses on customer ... Insurance. * 401K with company match. * Paid time off and company-paid holidays * Enjoy free daily ...

Meds

Entry Level Data Analyst

Austin, TX

Advanced Analytics: Move beyond descriptive stats to conduct deep-dive analyses on customer ... Insurance. * 401K with company match. * Paid time off and company-paid holidays * Enjoy free daily ...

Acrisure

Data Analyst, Data Intelligence

Austin, TX · On-site

... of insurance, reinsurance, payroll, benefits, cybersecurity, mortgage services - and more. In the ... Drive the development of efficient and reliable reporting and analytics capabilities with a ...

Abode Money

Data Analyst

Austin, TX · On-site

... property taxes, insurance, mortgage and more. Homeowners spend $2T+ per year on their home. It ... Comfort working with data and learning new tools quickly; exposure to Mixpanel or similar analytics ...

New

Abode Money

Data Analyst

Austin, TX · On-site

... property taxes, insurance, mortgage and more. Homeowners spend $2T+ per year on their home. It ... Comfort working with data and learning new tools quickly; exposure to Mixpanel or similar analytics ...

New

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 · Remote

$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 Inc

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.

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.

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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 13, 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.

Entry Level Data Analyst

Meds

Austin, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago

Job description

Meds.com is a rapidly growing consumer technology firm operating a suite of healthcare businesses, including our flagship brand BlueChew. Our mission is to better patients' lives through innovative healthcare solutions. With a team of 350 professionals across various specialties, we've built scalable pharmacy, telemedicine, and e-commerce platforms using cutting-edge technology. As we continue our accelerated growth trajectory, we're launching new products to expand our patient base and accelerate growth. Join us in tackling exciting challenges at the intersection of healthcare and technology.
We are looking for a Data Analyst who thinks like a scientist. You won't just be building dashboards; you will be digging into the "why" behind our growth. You will help us optimize our subscription models, predict customer churn, and refine our marketing spend using both traditional SQL analysis and statistical modeling.
This is for recent grads or soon to be graduates only (Grad Dates : May 2026 - December 2026) who are looking to flex their Data Science muscles.
Join our team in Austin, TX - we're looking for someone who truly values and enjoys working in the office, not just tolerates it.
Responsibilities
  • Advanced Analytics: Move beyond descriptive stats to conduct deep-dive analyses on customer behavior, LTV (Lifetime Value), and retention.

  • Predictive Modeling: Build and maintain basic machine learning models (Regression, Random Forest, etc.) to forecast inventory needs and subscription health.

  • A/B Testing & Experimentation: Design and analyze rigorous experiments for our web platform and marketing funnels to ensure we are making data-driven product decisions.

  • Data Storytelling: Translate complex statistical findings into actionable "executive summaries" for our marketing and operations teams.

  • Self-Service Tooling: Build and optimize Looker/Tableau dashboards that empower non-technical team members to answer their own data questions.

  • Data Integrity: Partner with Data Engineering to ensure our "Source of Truth" remains accurate as we scale our data warehouse (Snowflake/BigQuery).

What We're Looking For
  • The Essentials: 3+ years of experience in a data-heavy role. You are a SQL expert and highly proficient in Python (specifically Pandas, Scikit-learn, and NumPy).

  • The "Science" Bit: Strong grasp of statistics (probability distributions, hypothesis testing, and regression analysis).

  • The "Analyst" Bit: Experience with BI tools like Tableau, Looker, or Sigma. You know how to make data look as good as it performs.

  • Product Intuition: You don't just pull data; you understand the business levers of a subscription-based telemedicine company.

  • Bonus Points: Experience with dbt (data build tool), Airflow, or specialized experience in the healthcare/pharmacy space.

Tech Stack
  • Data Warehouse: Snowflake / BigQuery

  • Languages: SQL, Python (primary), R (secondary)

  • Visualization: Tableau / Looker

  • Transformation: dbt

  • Environment: Dockerized development, Git-based version control

Qualifications
Education:
  • Bachelor's degree (or in progress) in a quantitative field (Statistics, Data Analytics, Computer Science, Economics, or Mathematics). A Master's degree is preferred.

Technical Requirements:
  • SQL Mastery: You must be highly proficient in SQL for querying large datasets, joining complex tables, and data cleaning.

  • Programming (Python/R): Proficiency in Python (Pandas, NumPy) or R for statistical analysis and automation is standard.

  • Data Visualization: Experience with Tableau, Looker (LookML), or Power BI to create dashboards that tell a story to non-technical stakeholders.

  • Excel: Advanced skills (Pivot Tables, Power Query, complex formulas) for quick ad-hoc analysis.

Data Science Expertise:
  • Statistical Analysis: Understanding of A/B testing (experimentation), hypothesis testing, and regression models.

  • Predictive Modeling: Ability to build basic models for Customer Lifetime Value (LTV), Churn Prediction, or Inventory Forecasting.

  • Machine Learning Basics: Familiarity with supervised learning algorithms (like Random Forests or Logistic Regression).

Business & Domain Knowledge:
  • Subscription Metrics: Deep understanding of SaaS/Subscription KPIs like MRR (Monthly Recurring Revenue), Churn Rate, and CAC (Customer Acquisition Cost).

  • Marketing Analytics: Experience analyzing funnel conversion, attribution models, and digital ad performance (Google/Meta ads).

  • Regulatory Awareness: Familiarity with HIPAA or general healthcare data security is a significant plus given their telemedicine nature.

Perks
  • 100% company-paid Medical, Dental, Vision premium coverage,plus Short-Term Disability and Life Insurance.

  • 401K with company match.

  • Paid time off and company-paid holidays

  • Enjoy free daily lunch

We are looking for top talent that wants to make a measurable impact in an exciting, fast-paced environment in our Austin, TX office (fully onsite).
#LI-RG1

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