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Entry Level Insurance Data Analytics Jobs in Dallas, TX

Dhalite Inc.

Entry-Level Data Analyst

Dallas, TX · On-site

This role is ideal for entry level candidates who want to start a career in data analytics. Responsibilities Collect and organize data from different data sources. Clean and prepare datasets for ...

CGI Inc.

Data Analyst - Entry Level

Dallas, TX · On-site

Data Analyst - Entry Level Category: Testing/Quality Assurance Main location: United States, Texas ... You'll gain hands on experience with modern analytics tools and technology enabled workflows ...

Computer Futures

Health Insurance Analyst

Dallas, TX

$19.75 - $27/hr

Qualifications Amysis Medicare, medicaid SQL (oracle) Demonstrated analytics Background in Analytics within healthcare insurance ( Data, Configuration, or Enrollment) Compliments the team and ...

Greystone

Insurance Analyst - Post Closing

Irving, TX · On-site

$19.25 - $26.25/hr

The Insurance Analyst handles the insurance process preparation and payment of the insurance ... Verifying and entering data into the servicing systems related to insurance. * Assist and/or ...

Greystone

Insurance Analyst - Post Closing

Irving, TX · On-site

$19.25 - $26.25/hr

The Insurance Analyst handles the insurance process preparation and payment of the insurance ... Verifying and entering data into the servicing systems related to insurance. * Assist and/or ...

JW Affinity IT

Evergreen - Data Analyst

Dallas, TX

Requirements · Bachelor's degree in data analytics, statistics, information systems, business, or ... Life Insurance Plan * PTO * Short Term & Long-Term Disability * Internet & Phone Allowance (for ...

Yesway

Merchandising Data Analyst

Fort Worth, TX

... analytics or a related analytical role. * Advanced Excel skills and experience with data ... Company Paid Life Insurance * Health Savings Account * Flexible Savings Account * Company Paid ...

Yesway

Merchandising Data Analyst

Fort Worth, TX · On-site

... analytics or a related analytical role. * Advanced Excel skills and experience with data ... Company Paid Life Insurance * Health Savings Account * Flexible Savings Account * Company Paid ...

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Entry Level Insurance Data Analytics information

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How much do entry level insurance data analytics jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for entry level insurance data analytics in Dallas, TX is $54.16, according to ZipRecruiter salary data. Most workers in this role earn between $43.51 and $61.35 per hour, depending on experience, location, and employer.

What is an entry level insurance data analytics job?

Entry level insurance data analytics jobs involve collecting, processing, and analyzing data to help insurance companies make better business decisions. Professionals in these roles typically use statistical tools and software to identify trends, assess risks, and support pricing or policy development. They may also prepare reports and visualizations to communicate findings to other teams. These positions are ideal for recent graduates with strong analytical skills who have an interest in the insurance industry.

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

To thrive as an Entry Level Insurance Data Analytics professional, you need foundational skills in statistics, data analysis, and proficiency with Excel or similar tools, often supported by a degree in mathematics, statistics, or a related field. Familiarity with data analytics software such as SQL, Python, R, and insurance industry databases is highly valuable. Strong problem-solving abilities, attention to detail, and effective communication skills set candidates apart in this role. These competencies are crucial for accurately interpreting insurance data, supporting business decisions, and conveying insights to both technical and non-technical stakeholders.

What are some common challenges faced by entry level insurance data analytics professionals, and how can they be addressed?

Entry-level professionals in insurance data analytics often encounter challenges such as working with large, complex datasets, understanding industry-specific terminology, and aligning analytical findings with business objectives. To overcome these, it's important to develop strong data management and visualization skills, seek mentorship from experienced colleagues, and regularly communicate with underwriters, actuaries, and business teams to understand the context behind the numbers. Proactively participating in team meetings and taking advantage of on-the-job training can also help bridge knowledge gaps and foster professional growth.

What is the difference between Entry Level Insurance Data Analytics vs Insurance Data Analyst?

AspectEntry Level Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsBachelor's degree in data science, statistics, or related field; basic knowledge of analytics toolsBachelor's or higher in data analysis, statistics, or related; some roles prefer certifications
Work EnvironmentEntry-level roles in insurance companies, focusing on data collection and basic analysisMore experienced roles involving complex data modeling and reporting
Employer & Industry UsageInsurance companies, brokers, and agenciesInsurance firms, consulting agencies, and risk management companies

Entry Level Insurance Data Analytics positions focus on foundational data tasks within insurance firms, often requiring less experience and offering training opportunities. Insurance Data Analysts typically have more experience, handling advanced analysis and reporting. Both roles are essential in the insurance industry but differ mainly in complexity and responsibility.

What does an entry level insurance data analyst do in insurance?

An entry level insurance data analyst collects, organizes, and analyzes insurance data to identify trends, assess risks, and support decision-making. They often use tools like Excel, SQL, or data visualization software and work closely with underwriters and actuaries to improve underwriting processes and pricing strategies.

What are the most commonly searched types of Insurance Data Analytics jobs in Dallas, TX?

The most popular types of Insurance Data Analytics jobs in Dallas, TX are:

What are popular job titles related to Entry Level Insurance Data Analytics jobs in Dallas, TX?

For Entry Level Insurance Data Analytics jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Entry Level Insurance Data Analytics jobs in Dallas, TX look for?

The top searched job categories for Entry Level Insurance Data Analytics jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Entry Level Insurance Data Analytics jobs?

Cities near Dallas, TX with the most Entry Level Insurance Data Analytics job openings:

Entry Level Insurance Data Analytics jobs near you
Infographic showing various Entry Level Insurance Data Analytics job openings in Dallas, TX as of August 2026, with employment types broken down into 94% Full Time, and 6% Part Time. Highlights an 84% In-person, 6% Hybrid, and 10% Remote job distribution, with an average salary of $112,647 per year, or $54.2 per hour.

Insurance Data Specialist - Analytics - AI Trainer

Dallas, TX • On-site, Remote

Mercor
See more jobs at Mercorexternal

Full-time

This job post has expired today. 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