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Remote Insurance Data Analytics Jobs in Plano, TX

Data Team Supervisor

Dallas, TX ยท Remote

$105K - $120K/yr

Remote-First with In-Person Training: This position is remote following successful completion of ... Supervise a team of Data Warehouse Analysts and Database Administrators, ensuring that workloads ...

Data Team Supervisor

Dallas, TX ยท On-site +1

$105K - $120K/yr

Remote-First with In-Person Training: This position is remote following successful completion of ... Supervise a team of Data Warehouse Analysts and Database Administrators, ensuring that workloads ...

Audit Data Analyst - Senior Auditor (I)

Plano, TX ยท On-site +1

$85K - $162K/yr

As a dedicated Audit Analytics & Innovation - Audit Data Analyst - Senior Auditor (I), you will ... life insurance, parental benefits, adoption assistance, paid time off program with paid holidays ...

BI/Data Analyst Location: Remote (TX, GA, ID, OR, SC, WA) Duration: 6+ Months Contract Interview Type: Video Required Skills: * Source to target mapping - process and documentation * Strong SQL ...

Data Verification Analyst

Dallas, TX ยท Remote

$13.38 - $23.42/hr

This is a remote position. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Validate incoming data to the ... Insurance, Accident Insurance, Critical Illness Insurance, Pre-paid Legal Insurance, Parking and ...

Data Verification Analyst

Dallas, TX ยท Remote

$13.38 - $23.42/hr

This is a remote position. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Validate incoming data to the ... Insurance, Accident Insurance, Critical Illness Insurance, Pre-paid Legal Insurance, Parking and ...

Showing results 41-60

Remote Insurance Data Analytics information

See Plano, TX salary details

$23

$52

$90

How much do remote insurance data analytics jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for remote insurance data analytics in Plano, TX is $52.40, according to ZipRecruiter salary data. Most workers in this role earn between $42.12 and $59.38 per hour, depending on experience, location, and employer.

What is remote insurance data analytics?

Remote insurance data analytics is the practice of analyzing insurance-related data, such as claims, risk assessments, and customer information, from a location outside of a traditional office setting. Professionals in this field use statistical methods, data mining, and machine learning tools to identify patterns, detect fraud, and help insurance companies make data-driven decisions. This remote role often requires proficiency in data analysis tools like SQL, Python, or R, and a strong understanding of insurance industry concepts. Remote insurance data analysts collaborate with teams virtually to provide insights and support business strategies, making it a flexible career option.

What are the key skills and qualifications needed to thrive as a remote insurance data analytics professional?

To excel in Remote Insurance Data Analytics, you need strong analytical skills, a background in statistics or mathematics, and typically a degree in data science, actuarial science, or a related field. Familiarity with data analysis tools like SQL, Python, R, and specialized insurance analytics platforms such as SAS or Tableau, as well as relevant certifications, is highly valuable. Attention to detail, problem-solving abilities, and effective communication set candidates apart in this role. These skills are crucial for transforming complex insurance data into actionable insights that drive informed business decisions and risk assessments.

How do remote insurance data analytics professionals typically collaborate with cross-functional teams to drive business insights?

Remote Insurance Data Analytics professionals often work closely with underwriters, actuaries, claims managers, and IT teams to gather data requirements, interpret findings, and implement data-driven solutions. Collaboration usually happens through virtual meetings, collaborative dashboards, and project management tools to ensure clear communication and alignment on objectives. This cross-functional approach helps identify trends, optimize risk assessments, and support strategic decision-making within the organization. Building strong relationships with team members across departments is key to successfully translating analytical results into actionable business strategies.

What is the difference between Remote Insurance Data Analytics vs Remote Insurance Underwriter?

AspectRemote Insurance Data AnalyticsRemote Insurance Underwriter
Required CredentialsBachelor's in Data Science, Statistics, or related field; often certifications in data analysis or analyticsBachelor's in Business, Finance, or related; often requires insurance licensing or certifications
Work EnvironmentPrimarily data analysis, modeling, and reporting; often collaborative with IT and actuarial teamsAssessing risks, reviewing applications, making underwriting decisions; involves communication with agents and clients
Employer & Industry UsageUsed across insurance companies, reinsurers, and brokers for data-driven decision makingUsed by insurance carriers to evaluate and approve policies

Remote Insurance Data Analytics focuses on analyzing insurance data to inform business decisions, while Remote Insurance Underwriters evaluate individual insurance applications to determine coverage. Both roles are essential in the insurance industry but differ in daily tasks and required skills.

What are popular job titles related to Remote Insurance Data Analytics jobs in Plano, TX?

For Remote Insurance Data Analytics jobs in Plano, TX, the most frequently searched job titles are:

What job categories do people searching Remote Insurance Data Analytics jobs in Plano, TX look for?

The top searched job categories for Remote Insurance Data Analytics jobs in Plano, TX are:

What cities near Plano, TX are hiring for Remote Insurance Data Analytics jobs?

Cities near Plano, TX with the most Remote Insurance Data Analytics job openings:

Infographic showing various Remote Insurance Data Analytics job openings in Plano, TX as of August 2026, with employment types broken down into 81% Full Time, 5% Part Time, and 14% Contract. Highlights an 100% Remote job distribution, with an average salary of $108,987 per year, or $52.4 per hour.

Principal Strategy - Business Data Analyst

Addison Group

Coppell, TX โ€ข Remote

$135K - $165K/yr

Other

Medical, Dental, Vision, Retirement

Re-posted 26 days ago


Job description

Job Title: Principal Strategy – Business Data Analyst

Location: Coppell, TX

Pay: Full-Time Conversion: $135,000–$165,000 annually + bonus (target ~20%) + equity awards

Work Schedule:

  • Hybrid schedule: 4 days onsite, 1 day remote

Benefits: Medical, Dental, Vision, and 401(k)

About The Company:

This organization is a well-established, consumer-focused business that leverages data and analytics to shape growth strategies and improve customer engagement. The strategy function plays a central role in guiding decision-making across departments and driving measurable business outcomes.

Job Description:

The Principal Strategy – Business Data Analyst will join a highly visible team responsible for analyzing and guiding key business initiatives. This role combines advanced analytics with strategic insight, supporting leadership in making data-driven decisions that impact overall company performance. The ideal candidate will be equally comfortable working with complex datasets and presenting actionable recommendations to senior stakeholders. This position requires a strong balance of technical expertise and business understanding.

Key Responsibilities:

  • Analyze large and complex datasets to identify trends, opportunities, and performance insights
  • Partner with business leaders to define metrics and evaluate success across strategic initiatives
  • Build and maintain data processes using SQL and data integration tools
  • Design data models that support scalable reporting and analytics
  • Establish and uphold standards for data accuracy, consistency, and governance
  • Create dashboards and visual reports to communicate findings clearly
  • Present insights and recommendations to senior leadership and executive audiences
  • Collaborate with cross-functional teams to align data insights with business priorities

Qualifications:

  • 7+ years of experience in data analytics, business intelligence, or strategy-related roles
  • Strong proficiency in SQL and data transformation processes (ETL)
  • Experience working with platforms such as Databricks or similar data environments
  • Solid understanding of data modeling, governance, and automation techniques
  • Experience with visualization tools such as Power BI or Tableau
  • Ability to communicate complex technical information to non-technical stakeholders
  • Experience supporting executive-level decision-making
  • Strong analytical mindset combined with business acumen

Additional Details:

  • Role is part of a small, high-impact team supporting enterprise strategy initiatives
  • Frequent interaction with senior leadership and cross-functional partners
  • Interview process may include a technical assessment and business scenario discussion
  • Work focuses on improving customer engagement, performance tracking, and strategic growth planning

Perks:

  • Opportunity to work directly with executive leadership
  • High-impact role influencing key business decisions
  • Competitive compensation package with bonus and equity potential
  • Hybrid work flexibility
  • Exposure to large-scale data initiatives
  • Strong emphasis on career growth and skill development

Addison Group is an Equal Opportunity Employer. Addison Group provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. Addison Group complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. Reasonable accommodation is available for qualified individuals with disabilities, upon request.