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Internship Insurance Data Analytics Jobs in Texas

Trinity Industry is looking for Data Analytics Interns for our office in Dallas, TX . This position will focus on building, deploying, and scaling agentic AI applications and automated workflows ...

Trinity Industry is looking for Data Analytics Interns for our office in Dallas, TX . This position will focus on building, deploying, and scaling agentic AI applications and automated workflows ...

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

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Internship Insurance Data Analytics information

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 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 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.

Insurance Data Specialist - Analytics - AI Trainer

Mercor

Dallas, TX • On-site, Remote

Full-time

This job post has expired 4 days ago. Applications are no longer accepted.


Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Insurance Data & Operations Specialist
Type: Contract
Compensation: $800/hour
Location: Remote
Commitment: 20–40 hours/week

Role Responsibilities

  • Design realistic scenarios involving policy, premium, exposure, claim, provider, member, producer, and operational data.
  • Create work products such as metric definitions, data-quality assessments, workflow analyses, dashboard requirements, operational reports, root-cause analyses, and process-improvement recommendations.
  • Write "golden" reference responses at experienced insurance data and operations quality.
  • Grade AI-generated responses against structured rubrics for data interpretation, metric consistency, process understanding, feasibility, and communication.
  • Identify incorrect denominators, misleading aggregations, inconsistent definitions, data-lineage gaps, workflow bottlenecks, and conclusions not supported by the available evidence.
  • Provide written feedback the research team uses to improve model behavior.

Qualifications

Must-Have

  • 2+ years of professional experience in insurance data, business analysis, reporting, operations analysis, quality assurance, or process improvement.
  • Understand at least one insurance operating domain, such as underwriting, policy administration, claims, distribution, health-plan operations, reinsurance, or compliance.
  • Translated business questions into metrics, reporting requirements, data definitions, workflow changes, or operational controls.
  • Analyze a process without substituting for the underwriter, adjuster, clinician, actuary, or compliance specialist responsible for the substantive decision.
  • Excellent analytical writing, structured problem-solving, and high attention to detail.
  • Proficient with spreadsheets and at least one reporting, database, analytics, or workflow tool.

Preferred

  • Experience with SQL, Python, R, Tableau, Power BI, Looker, or insurance data platforms.
  • Lean, Six Sigma, project-management, business-analysis, or data-governance credential.
  • Experience with policy, billing, claims, CRM, provider, or member-administration systems.
  • Data governance, model governance, audit, or operational quality experience.
  • Experience developing KPIs, service-level metrics, or executive reporting.

Start Date

  • Immediately; applications reviewed on a rolling basis.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.


#hiringmercor