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Internship Insurance Data Analytics Jobs in Texas

Manager, Data Analytics

Dallas, TX · Hybrid

$111K - $145K/yr

Oscar is the first health insurance company built around a full stack technology platform and a ... The Data Analytics Manager works across and outside the organization to solve complex data issues.

Manager, Data Analytics

Dallas, TX · On-site

$111K - $145K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Oscar is the first health insurance company built around a full stack technology platform and a ... The Data Analytics Manager works across and outside the organization to solve complex data issues.

Manager, Data Analytics

Dallas, TX · On-site

$111K - $145K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Oscar is the first health insurance company built around a full stack technology platform and a ... The Data Analytics Manager works across and outside the organization to solve complex data issues.

Data Analytics project Manager

Plano, TX · On-site

$85 - $90/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Bachelor's degree in data science, Information Systems, Business Analytics, Computer Science, or ... Medical, Dental, and Vision Insurance * 401(k) Retirement Plan * Health Savings Account (HSA)

Data Analytics Project Manager

Plano, TX · On-site

$65 - $75/hr

  • Medical

  • Dental

  • Vision

Dental insurance * Health insurance * Vision insurance Qualifications * Bachelor's degree in data science, Information Systems, Business Analytics, Computer Science OR equivalent work experience. In ...

Project Manager Data Analytics

Plano, TX · On-site

$65 - $75/hr

  • Medical

  • Dental

  • Vision

Dental insurance * Health insurance * Vision insurance Qualifications * Bachelor's degree in data science, Information Systems, Business Analytics, Computer Science OR equivalent work experience. In ...

October 9th, 2026 The Insights and Product Analytics (IPA) organizationis responsible foranalyzing ... High-performing interns may receive full-time offers to join Gartner's Associate Data Analyst ...

New

P&C Insurance Analyst

Houston, TX · On-site

$19 - $26/hr

The Property & Casualty Insurance Analyst provides essential support to account management ... Data Management & Analysis * Assist with data requests and maintenance of accurate policy and ...

Data Analyst (Statewide)

Austin, TX · On-site

$4.8K/mo

  • Medical

  • Retirement

  • PTO

... analytics needs. -Interpret results to identify significant differences in data. -Assist in ... Internship or TWC Apprenticeship will satisfythe minimum qualifications. YOU ARE A GREAT FIT WITH ...

Showing results 21-40

Internship Insurance Data Analytics information

What are the key skills and qualifications needed to thrive as an insurance data analytics intern?

To thrive as an Insurance Data Analytics Intern, you need a solid understanding of statistics, data analysis, and basic insurance concepts, often supported by coursework in mathematics, economics, or computer science. Familiarity with tools such as Excel, SQL, Python, and data visualization platforms like Tableau is typically expected. Strong attention to detail, analytical thinking, and effective communication skills help you interpret data and present findings clearly. These skills are crucial for accurately analyzing insurance data, supporting business decisions, and contributing meaningful insights to the team.

What types of projects can I expect to work on during an insurance data analytics internship?

As an Insurance Data Analytics intern, you will typically assist with analyzing large datasets to identify trends, assess risk factors, and support decision-making for underwriting or claims teams. Your daily tasks might include data cleaning, building dashboards, and generating reports using tools like Excel, SQL, or Python. You'll likely collaborate closely with experienced data analysts, actuaries, and other departments to translate data insights into actionable business strategies. These projects offer valuable exposure to industry-standard analytics practices and contribute to real business outcomes.

What is an internship in insurance data analytics?

An Internship in Insurance Data Analytics is a temporary position for students or recent graduates to gain practical experience analyzing data within the insurance industry. Interns typically assist with collecting, interpreting, and presenting data to help insurance companies make informed decisions about risk, pricing, and customer trends. The role often involves using statistical tools, working with large datasets, and supporting data-driven projects. It provides valuable exposure to both the insurance sector and the field of data analytics, helping interns develop technical and professional skills.

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 Internship Insurance Data Analytics jobs?

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

Infographic showing various Internship Insurance Data Analytics job openings in Texas as of August 2026, with employment types broken down into 3% Internship, 84% Full Time, 5% Part Time, 3% Temporary, and 5% Contract. Highlights an 97% In-person, and 3% Hybrid job distribution.

Manager, Data Analytics

Oscar Health

Dallas, TX • Hybrid

$111K - $145K/yr

Full-time

Re-posted 19 days ago


Oscar Health rating

6.9

Company rating: 6.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

257th of 308 rated insurance


Job description

Hi, we're Oscar. We're hiring a Data Analytics Manager to join our Operations 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:

The Data Analytics Manager works across and outside the organization to solve complex data issues. You will work collaboratively to assess data related issues, understand the cause of those issues, and partner with the engineering, data, and customer success teams to implement solutions. You will understand the use, flow, and generation of data within a complex ecosystem of business processes and will need to explain your findings to audiences with varying degrees of technical knowledge. You will drive the scoping & execution of analytical requests, including working with team members to define important questions, scope methodologies, and achieve results.

Work Location: This position is based in our Dallas, TX office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid

Pay Transparency: The base pay for this role is: $111,034.80 - $145,733.18 per year. You are also eligible for employee benefits, unlimited PTO and annual performance bonuses.

Responsibilities:

  • Communicate with external customers and our teams to evaluate data issues, serving as the first point of contract for production issues
  • Ask questions to determine the cause and business impacts of issues that are raised surrounding our data
  • Partner with engineering and data teams to find solutions to data issues within a complex system architecture that prioritize accuracy, customer satisfaction, and scalability
  • Partner with business teams to explain complex technical and data issues to non-technical colleagues, including packaging and presenting findings
  • Recognize the need to enhance essential operational and analytical dashboards, and define the requirements to enhance them as our users' needs evolve
  • Identify opportunities to create models and tools that improve processes and overall improve efficiency
  • Collaborate across the organization with internal and external leaders, to identify actions to achieve improvements and monitor initiative impact
  • Support other projects as assigned to meet our needs
  • Lead a team of data analysts
  • Compliance with all applicable laws and regulations (DO NOT REMOVE - REQUIRED)
  • Other duties as assigned (DO NOT REMOVE - REQUIRED)

Requirements:

  • 4+ years of technical work experience using analytical tools and writing analytical reports
  • 4+ years in a client-facing role with experience managing issues externally
  • 2+ years demonstrated ability to work with large datasets and distill analyses into relevant insights with a structured and systematic thought process
  • 5+ examples/projects of experience communicating updates and resolutions to customers and other partners, around business reporting impact and requirements
  • 2+ years experience in SQL, with the ability to filter, aggregate, and build CTEs, or proficiency in R or Python, including experience with Pandas, for loops, and statistical tests
  • 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 in healthcare, finance or the insurance industry

Bonus points:

  • 2+ years experience in preparing healthcare analytics, reporting, and data management
  • Experience with ticketing system (such as Jira)
  • Proficiency in R or Python, including experience with Pandas, for loops, and statistical tests

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.


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