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Insurance Data Analytics Jobs in Texas (NOW HIRING)

Collaborate with department leaders to identify, define, and prioritize analytics opportunities ... Medical/Dental/Vision/Life Insurance * Paid holidays and vacation About R2 Logistics: Founded in ...

Requirements * Bachelor's degree in data analytics, statistics, information systems, security ... Medical/ Dental/ Vision Insurance; FSA Medical & FSA Dependent Care; Pre-tax 401(k) & ROTH 401(k) ...

Requirements * Bachelor's degree in data analytics, statistics, information systems, security ... Medical/ Dental/ Vision Insurance; FSA Medical & FSA Dependent Care; Pre-tax 401(k) & ROTH 401(k) ...

Collaborate with department leaders to identify, define, and prioritize analytics opportunities ... Medical/Dental/Vision/Life Insurance * Paid holidays and vacation About R2 Logistics: Founded in ...

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) ...

Collaborate with department leaders to identify, define, and prioritize analytics opportunities ... Medical/Dental/Vision/Life Insurance * Paid holidays and vacation About R2 Logistics: Founded in ...

Executive Assistant - Data & Analytics Description - Job Summary • This role is responsible for ... Dental insurance * Vision insurance * Long term/short term disability insurance * Employee ...

Collaborate with department leaders to identify, define, and prioritize analytics opportunities ... Medical/Dental/Vision/Life Insurance * Paid holidays and vacation About R2 Logistics: Founded in ...

Executive Assistant - Data & Analytics Description - Job Summary This role is responsible for ... Dental insurance * Vision insurance * Long term/short term disability insurance * Employee ...

Executive Assistant - Data & Analytics Job Summary This role is responsible for providing basic ... Health insurance Dental insurance Vision insurance Long term/short term disability insurance ...

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 ...

This role interprets, sorts, and verifies accuracy of pertinent insurance data. This role makes ... Strong organizational and analytical skills with attention to detail. * Strong verbal and written ...

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Insurance Data Analytics information

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 Texas? The most popular types of 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:
Infographic showing various Insurance Data Analytics job openings in Texas as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Data Engineer, Worldwide Grocery Data & Analytics

Data Engineer, Worldwide Grocery Data & Analytics

Amazon

Austin, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,923 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

Worldwide Grocery Store Tech (WWGST) is seeking a Data Engineer to join our Data & Analytics team. In this position, you will be responsible for architecting robust data infrastructures and developing advanced data pipelines to unlock the full potential of our expansive data landscape.
Key job responsibilities
- Help build the infrastructure that powers data-driven decision making. Utilize software engineering best practices, data management fundamentals, data storage principles, and recent advances in distributed systems.
- Manage and optimize usage of cloud computing resources, particularly on AWS, to support data infrastructure.
- Collaborate with Business Intelligence Engineers to establish best practices for data reporting, analysis, integrity, testing, validation, and documentation.
- Collaborate with Data Scientists to implement advanced analytics algorithms that exploit our rich data sets for statistical analysis, prediction, clustering and machine learning.
- Drive the architecture and technology decisions that enable a world-class user experience.
- Develop in-depth knowledge of the Amazon's various data sources to determine the appropriate data resources for each use case.
- Encourage the organization to adopt next-generation data architecture strategies, proposing both data flows and storage solutions
- Thrive in an environment with a degree of ambiguity, quickly building proof of concepts, iterating, and improving data-driven solutions.
- Create extensible designs and easy to maintain solutions with the long term vision in mind.
- Have an understanding and empathy for business objectives, and continually align your work with those objectives and seek to deliver business value.
About the team
DASH Team is a cross-cutting data engineering team serving the broader WWGS organization and it is pioneering as an AI-first team, delivering analytics using AI in 2026.. DASH operates as a central hub for data infrastructure, consuming raw data, transforming it into an analytical data, and enabling access for consumers across the grocery data community. The team focuses on building robust, scalable platforms, long-term infrastructure stability, leadership goals, and measurable impact.
BASIC QUALIFICATIONS
- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
PREFERRED QUALIFICATIONS
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, TX, AUSTIN - 132,100.00 - 178,800.00 USD annually

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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US