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Volunteer Insurance Data Analytics Jobs in Texas

Data Analytics Engineer

Houston, TX · On-site

$99K - $118K/yr

Health insurance * Vision insurance Hi, We are actively seeking qualified candidates for the following position for our client, who is an industry leader: Data Analytics Engineer Location: Houston ...

Data Analytics Engineer

Crystal City, TX · On-site

$99K - $119K/yr

Data Analytics Engineer ID: 1000000059 Location: Crystal City, VA Clearance Level: Obtain Public ... Life Insurance * AD&D Insurance * Short Term and Long Term Disability Insurance * 3 weeks of annual ...

We are seeking an innovative and strategic Manager, AI and Data Analytics to lead the development ... volunteerism, named Best Bank/Credit Union by the Fort Worth Star Telegram's readers, and became ...

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)

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

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

Requirements * Bachelor's degree in data analytics, statistics, information systems, security ... Voluntary Group Life Insurance option; Tuition Reimbursement; Job-related Course Reimbursement;

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Showing results 1-20

Volunteer Insurance Data Analytics information

What is the difference between Volunteer Insurance Data Analytics vs Insurance Data Analyst?

AspectVolunteer Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsRelevant certifications, data analysis skills, insurance knowledgeDegree in statistics, data science, or related field; certifications preferred
Work EnvironmentNon-profit, volunteer-based, flexible hoursCorporate insurance companies, structured office settings
Employer & Industry UsageNon-profit organizations, insurance charitiesInsurance firms, financial institutions
Common Search & ComparisonVolunteer Insurance Data Analytics vs Insurance Data Analyst

Volunteer Insurance Data Analytics focuses on analyzing insurance data within volunteer or non-profit contexts, often with flexible or part-time roles. Insurance Data Analysts work in corporate settings, handling large datasets to inform business decisions. Both roles require similar analytical skills and insurance knowledge but differ mainly in work environment and employment type.

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 Volunteer Insurance Data Analytics jobs in Texas?

For Volunteer Insurance Data Analytics jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Volunteer Insurance Data Analytics jobs in Texas look for?

The top searched job categories for Volunteer Insurance Data Analytics jobs in Texas are:

What cities in Texas are hiring for Volunteer Insurance Data Analytics jobs?

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

Insurance Data Specialist - Analytics - AI Trainer

Mercor

Dallas, TX • On-site, Remote

Full-time

This job post has expired 1 day 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