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Insurance Data Analytics Jobs in Texas (NOW HIRING)

RPM Living

Data Analyst - Insurance

Austin, TX

$19.75 - $27/hr

Position Summary The Insurance & Risk Analyst supports the company's insurance and risk management functions through insurance administration, data analysis, compliance oversight, underwriting ...

RPM Living

Data Analyst - Insurance

Austin, TX · On-site

$19.75 - $27/hr

Position Summary The Insurance & Risk Analyst supports the company's insurance and risk management functions through insurance administration, data analysis, compliance oversight, underwriting ...

RPM Living

Data Analyst - Insurance

Austin, TX · On-site

$19.75 - $27/hr

Position Summary The Insurance & Risk Analyst supports the company's insurance and risk management functions through insurance administration, data analysis, compliance oversight, underwriting ...

RPM Living

Data Analyst - Insurance

Austin, TX · On-site

$19.75 - $27/hr

Position Summary The Insurance & Risk Analyst supports the company's insurance and risk management functions through insurance administration, data analysis, compliance oversight, underwriting ...

C2 Alaska, LLC

Data Analyst

San Antonio, TX

Maintain analytics project SharePoint libraries providing versioning and historical background on ... Report any discovered Health Insurance Portability and Accountability Act of 1996 (HIPAA) violation ...

C2 Alaska, LLC

Data Analyst

San Antonio, TX · On-site

Maintain analytics project SharePoint libraries providing versioning and historical background on ... Report any discovered Health Insurance Portability and Accountability Act of 1996 (HIPAA) violation ...

C2 Alaska, LLC

Data Analyst

San Antonio, TX

Maintain analytics project SharePoint libraries providing versioning and historical background on ... Report any discovered Health Insurance Portability and Accountability Act of 1996 (HIPAA) violation ...

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Insurance Data Analytics information

See Texas salary details

$22

$51

$88

How much do insurance data analytics jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for insurance data analytics in Texas is $51.00, according to ZipRecruiter salary data. Most workers in this role earn between $40.96 and $57.79 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.

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 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
Associate, Operations Data Analytics

Associate, Operations Data Analytics

Oscar Health

Dallas, TX • Remote

$91K - $120K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday

Oscar Health rating

6.9

Company rating: 6.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

226th of 260 rated insurance

Job description

Hi, we're Oscar. We're hiring a Data Analytics Associate to join our Service Operations Data Analytics team.

Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family.

About the role:

You will partner closely across the organization to identify and manage inefficiencies proactively in the business. You will support business units in scoping, analyzing and monitoring performance of key financial and utilization metrics in service of company goals. You will independently drives the scoping & execution of analytical requests, including working with stakeholders to define key questions, scope methodologies and results. You may at times be called upon to speak to prepared analysis both internally and externally.

You will report into the Manager, Data Analytics.

Work Location: This is a remote position, open to candidates who reside in: Dallas, Texas. You will be fully remote; however, our approach to work may adapt over time. Future models could potentially involve a hybrid presence at the hub office associated with your metro area. #LI-Remote

Pay Transparency: The base pay for this role is: $91,659 - $120,303 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, and annual performance bonuses.

Responsibilities:

  • Responsible for owning insights generation and follow-up for a major business unit, serving as the first point of contract for Sr. Managers and Associate Directors
  • Analyze data to support business teams in making better informed, data-driven decisions
  • Use data to tell a story that non-technical colleagues will be able to understand, including packaging and presenting findings in a clear, concise and compelling manner
  • Recognize the need to enhance essential operational and analytical dashboards, and define the requirements to enhance them as our user's needs evolve
  • Identify opportunities to create models and tools that produce relevant insights to identify healthcare inefficiencies and generate insights to remove inefficiencies
  • Collaborate across the organization, including owning stakeholder relationships with managers & senior managers , to identify actions to achieve improvements and monitor initiative impact
  • Support other strategic projects as assigned to meet business needs
  • Compliance with all applicable laws and regulations
  • Other duties as assigned

Requirements:

  • 3+ years of technical work experience using analytical tools and writing analytical reports
  • 2+ years demonstrated ability to work with large datasets and distill analyses into relevant insights with a structured and systematic thought process
  • Strong communication skills, verbal and written, around business reporting impact and requirements, as demonstrated by 5+ examples / projects of presenting analysis to Leadership (Director+)
  • 2+ years experience in SQL, with the ability to filter, aggregate, and build CTEs
  • 2+ years in building robust data models
  • 1+ years experience, including proficiency in Google Sheets or Excel skills, with ability to use VLookup, nested if statements and connected Sheets
  • 1+ years experience developing dashboards and working with Looker, or other business intelligence/data visualization tools

Bonus points:

  • Experience using Python or R
  • 2+ years experience in healthcare or insurance industry
  • Exposure to healthcare contract negotiations, risk adjustment, ACA marketplace, quality of care, and/or population health experience
  • Prior experience in Member Relations or Customer Success environments.
  • Building data models in dbt
  • Building reports in Looker Studio Pro
  • Git workflows

This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here.

At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives.

Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements.

Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts.

Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known.

California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.