1

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

Data Analyst

Austin, TX · On-site

$75K/yr

Develop, maintain, and manage dashboards, reporting, and analytics using Tableau, Power BI, or ... Medical, Dental, Vision, HSA, Life Insurance, Disability Coverage, and Pet Insurance * 401(k) ...

Develop, maintain, and manage dashboards, reporting, and analytics using Tableau, Power BI, or ... Medical, Dental, Vision, HSA, Life Insurance, Disability Coverage, and Pet Insurance * 401(k) ...

Ad-hoc analytics and insights . Promptly address ad-hoc analysis requests with clear, well ... Employer paid Dental, Vision & Life and AD&D Insurance * Employer paid Short-term & Long-term ...

Partner with stakeholders across GTM and insurance functions to inform data-driven strategies and operational decisions. * Support retention and lifecycle analytics, including churn drivers, LTV ...

Partner with stakeholders across GTM and insurance functions to inform data-driven strategies and operational decisions. * Support retention and lifecycle analytics, including churn drivers, LTV ...

Data Analyst (Austin)

Austin, TX · On-site

$5.1K - $5.4K/mo

YOU QUALIFY WITH: -One year of full-time experience in data science, business analytics, computer ... Medical Insurance - Paid time off, including time for vacation, sick and family care leave ...

... 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 ...

next page

Showing results 1-20

Insurance Data Analytics information

See Austin, TX salary details

$24

$54

$93

How much do insurance data analytics jobs pay per hour?

As of Jul 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 the Insurance Data Analytics position, and why are they important?

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 collects, processes, and analyzes insurance data to identify trends, assess risks, and support decision-making. They use tools like Excel, SQL, and data visualization software to create reports and models that improve underwriting, claims management, and pricing strategies.

How much does an insurance analyst make?

The average salary for an insurance analyst is around $65,000 to $85,000 per year, depending on experience, location, and industry. Entry-level roles typically start lower, while experienced analysts with specialized skills or certifications can earn higher salaries. Strong analytical skills and proficiency with data tools like Excel or SQL are often required.

Will AI replace a data analyst?

AI can automate routine data processing and analysis tasks, but the role of a data analyst, including those in insurance data analytics, involves interpreting complex data, providing insights, and making strategic decisions that require human judgment. Therefore, AI is more likely to augment rather than fully replace data analysts, who also need skills in data visualization, domain knowledge, and communication. Continuous learning and proficiency with analytics tools remain important for the role.

What is an Insurance Data Analytics job?

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:
Infographic showing various Insurance Data Analytics job openings in Austin, TX as of July 2026, with employment types broken down into 1% Internship, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $112,872 per year, or $54.3 per hour.
Enterprise Architecture Principal - Data & Analytics

Enterprise Architecture Principal - Data & Analytics

Cigna

Austin, TX

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Cigna Healthcare rating

8.3

Company rating: 8.3 out of 10

Based on 235 frontline employees who took The Breakroom Quiz

39th of 884 rated healthcare providers


Job description

The Enterprise Architecture Principal - Data & Analytics is a senior technology leader responsible for defining the future enterprise data and analytics architecture strategy, target states, and multi-year roadmaps. This role recognized architecture authority architecture strategies, establishes technology standards, and creates multi-year roadmaps that support business goals and setting the northstar visionfor modern data platforms, analytics, and AI-enabled capabilities-translatingbusiness priorities into pragmatic, scalable, and future-ready architectures. The individual will be operating with high enterprise influence and no direct reports, this role requires strong executive presence, the ability to influence without authority, and a relentless focus on enabling data-driven decision making, hyper-personalization,and AI-first innovation.

Key Outcomes

  • Enterprise Data & Analytics Vision:Define and publish a business-aligned data and analytics architecture strategywith a clear 3-5 year roadmapcovering data platforms, governance, analytics, AI/ML, and integration layers.
  • Scalable & Reusable Data Foundations:Establish modern, modular data architecturesthat reduce fragmentation, promote reuse, and enable enterprise-scale analytics and AI.
  • Decision Velocity through Architecture Governance:Implement architecture principles, guardrails, and decision frameworks to improve speed, consistency, and quality of analytics and data platform decisions.
  • AI-Ready & Insights-Driven Enterprise:Enable analytics-ready data, semantic layers, and AI capabilitiesthat accelerate insights, automation, and intelligent decisioning.
  • Cross-Domain Alignment:Act as a unifying architecture leader across Digital, Data, AI, Security, and Business domainsto ensure alignment on key investment and design decisions.

Responsibilities

  • Develop and lead enterprise data and analytics architecture strategies and roadmaps.
  • Design and evolve enterprise data & analytics architecture strategy, capability maps, and target-state designs
  • Develop and maintain multi-year roadmapsaligned to business outcomes, cost optimization, and innovation priorities.
  • Lead architecture decisions for large-scale data, analytics, and AI initiatives.
  • Architect and support modern data platforms(cloud data lakehouse, streaming, real-time pipelines, semantic/ontology layers).
  • Partner with engineering, product, data, and business teams to deliver scalable and cost-effective solutions.
  • Evaluate emerging technologies and recommend innovative solutions that support business objectives.
  • Enable self-service analytics, BI, and advanced analytics capabilities across the enterprise.
  • Lead architecture for AI/ML platforms, feature stores, and model lifecycle integration.
  • Embed data governance, quality, lineage, metadata, and stewardship frameworksinto architecture design.
  • Drive innovation in AI/ML, GenAI, agentic analytics, and intelligent automation.
  • Provide architecture leadership for high-impact data and analytics initiatives.
  • Establish reference architectures, reusable patterns, and standardsfor enterprise adoption.
  • Develop reusable architecture patterns, frameworks, and standards for enterprise adoption.
  • Support modern engineering practices, including DataOps, MLOps, and automated deployment processes.
  • Partner with engineering, product, and data teams to ensure architectures are executable, scalable, and cost-efficient.
  • Provide technical leadership, mentoring, and guidance across the architecture and data community.
  • Enable adoption of modern engineering practices(DataOps, MLOps, CI/CD for data).
  • Influence strategic technology decisions and drive alignment across multiple teams and business areas.
  • Serve as a mentor and thought leaderacross the architecture and data community.
  • Drive adoption of best practices, patterns, and architectural discipline.

Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • 10+ years of experience in enterprise architecture, data engineering, analytics platforms, or related disciplines.
  • Strong knowledge of cloud platforms such as Azure, AWS, or Google Cloud Platform (GCP).
  • Proven success defining data/analytics architecture strategies, target states, and roadmaps.
  • Experience with modern data platforms, APIs, streaming technologies, and data integration patterns.
  • Knowledge of data governance, privacy, security, and compliance frameworks.
  • Deep experience in large-scale, regulated enterprise environments(e.g., healthcare, financial services).
  • Experience with artificial intelligence (AI), machine learning (ML), and advanced analytics solutions.
  • Strong ability to influence senior stakeholders without direct authority.
  • Strong communication, leadership, and problem-solving skills.
  • Experience working in large, highly regulated industries such as healthcare or financial services is preferred.

Expertise in:

  • Modern data platforms (Lakehouse, Data Mesh, Data Fabric)
  • Cloud ecosystems (Azure, AWS, GCP)
  • APIs, event-driven architecture, and streaming
  • Data governance, security, and privacy frameworks
  • AI/ML and advanced analytics platforms

If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload.For this position, we anticipate offering an annual salary of 151,600 - 252,600 USD / yearly, depending on relevant factors, including experience and geographic location.

This role is also anticipated to be eligible to participate in an annual bonus and long term incentive plan.


At The Cigna Group, you'll enjoy a comprehensive range of benefits, with a focus on supporting your whole health. Starting on day one of your employment, you'll be offered several health-related benefits including medical, vision, dental, and well-being and behavioral health programs. We also offer 401(k), company paid life insurance, tuition reimbursement, a minimum of 18 days of paid time off per year, paid holidays, and leaves of absence. For more details on our employee benefits programs, click here.


About The Cigna Group

Doing something meaningful starts with a simple decision, a commitment to changing lives. At The Cigna Group, we're dedicated to improving the health and vitality of those we serve. Through our divisions Cigna Healthcare and Evernorth Health Services, we are committed to enhancing the lives of our clients, customers and patients. Join us in driving growth and improving lives.

Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws.

If you need a reasonable accommodation to complete the online application process, please email seeyourself@thecignagroup.com for assistance. Please note that this email inbox is dedicated to accommodation requests only and cannot provide application updates or accept resumes.

The Cigna Group has a tobacco-free policy and reserves the right not to hire tobacco/nicotine users in states where that is legally permissible. Candidates in such states who use tobacco/nicotine will not be considered for employment unless they enter a qualifying smoking cessation program prior to the start of their employment. These states include: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Ohio, Pennsylvania, Texas, Utah, Vermont, and Washington State.

Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances.


What Cigna Healthcare employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom