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Remote Insurance Data Analytics Jobs in Nevada (NOW HIRING)

This is an entry-level, remote role with a flexible schedule , comprehensive healthcare benefits ... Mentorship and Learning - We'll support your growth in data analytics and reporting * Mission ...

Remote Insurance Agent

Reno, NV ยท Remote

$60K - $110K/yr

Remote Insurance Sales Agent | $60k-$110k+ First Year | No Cold Calling Earn strong first-year ... with applicable data protection laws. (US only) 1099=independent contractor, not employee.

Remote Insurance Agent

Las Vegas, NV ยท Remote

$60K - $110K/yr

Remote Insurance Sales Agent | $60k-$110k+ First Year | No Cold Calling Earn strong first-year ... with applicable data protection laws. (US only) 1099=independent contractor, not employee.

Senior Healthcare Analyst

Las Vegas, NV ยท Remote

$82K - $103K/yr

This position is Remote in Pacific Time Zone. You will have the flexibility to work remotely* as ... Join us and put your data analytics knowledge and skills to work in support of Operational Finance.

Requires analytical and quantitative skills with proven experience in developing strategic ... Remote -Boston, MA, Chicago, IL, Cleveland, OH, Dallas, TX, Indianapolis, IN, JERSEY CITY, NJ, Las ...

Experience performing data analysis to support issue investigation, trend identification ... insurance, pet insurance, and more. Salary Range $56,000-$66,500 USD Motional is a driverless ...

... Data Scientists and/or Engineers, and may include team leader roles for candidates who have ... Sacramento, CA * United States - Remote Responsibilities * Collecting, synthesizing, and ...

... Data Scientists and/or Engineers, and may include team leader roles for candidates who have ... Sacramento, CA * United States - Remote Responsibilities * Collecting, synthesizing, and ...

Data Entry Specialist

Las Vegas, NV ยท Remote

$20 - $30/hr

Sharp analytical skills and a genuine love of precision. * Excel proficiency, with NetSuite ... The Details: This is a remote role with standard business hours, with some extra hours expected ...

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Remote Insurance Data Analytics information

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 the most commonly searched types of Insurance Data Analytics jobs in Nevada?

The most popular types of Insurance Data Analytics jobs in Nevada are:

Infographic showing various Remote Insurance Data Analytics job openings in Nevada as of August 2026, with employment types broken down into 78% Full Time, 8% Part Time, and 14% Contract. Highlights an 100% Remote job distribution.

Jr. Data Analyst

Data Insight Partners

Las Vegas, NV โ€ข On-site, Remote

Full-time

Medical, Dental, Vision

Posted 7 days ago


Job description

Make a difference with data.
Are you passionate about using data to drive positive change in education? Join our mission to help K-12 schools turn complex education data into clear, actionable insights that empower students, families, and staff.
We're looking for a Junior Data Analyst to support the creation of interactive, user-friendly data reports that make information accessible to students, families, and staff. This is an entry-level, remote role with a flexible schedule, comprehensive healthcare benefits, and mentorship support for your career growth.
What You'll Do
With guidance and support, you will:
  • Build reports and visualizations that make education data accessible for students, families, and staff
  • Develop and maintain data ingestion, cleaning, and transformation processes
  • Write and troubleshoot SQL queries to prepare datasets for analysis
  • Identify patterns and errors in large datasets and help design solutions
  • Collaborate with team members to translate real-world school needs into technical solutions
  • Help onboard new districts and schools by configuring the application to fit their data, users, and reporting needs
  • Document new and existing processes

Requirements
Required Qualifications
  • Experience writing SQL queries by hand (no visual query builder), including joins, aggregations, filtering, and grouping across multiple tables (e.g., PostgreSQL, MySQL, SQL Server, Oracle)
  • Ability to translate real-world business rules into SQL queries and data visualizations
  • Ability to read and reason about existing SQL queries and adapt them to new requirements
  • Ability to analyze large datasets to identify issues or trends
  • Attention to detail, with a focus on data accuracy
  • Comfortable collaborating to define and solve problems based on user needs
  • Basic ability to identify the root cause of data issues and suggest improvements
  • Familiarity with version control tools (e.g., Git)
  • Strong written communication skills, including documentation
  • Comfortable working independently and managing your own time in a remote environment
  • Genuine interest in education and the mission of improving outcomes for K-12 students

Preferred Qualifications
  • Coursework or projects in data analysis, statistics, or a related field
  • Familiarity with relational data modeling concepts (tables, keys, relationships)
  • Knowledge of scripting languages like PHP, Python, or Node
  • Exposure to ETL / data pipeline concepts
  • Familiarity with HTML, JavaScript, and CSS
  • Familiarity with agent-based coding tools like Claude Code, OpenAI Codex, or GitHub Copilot

Experience
Completion of relevant coursework (e.g., computer science, data analysis, statistics, education technology) or 1+ years of related professional experience
Benefits
  • 100% Remote Work (U.S.-based)
  • Flexible Work Schedule - We trust you to manage your time effectively
  • Healthcare Coverage - Medical, dental, and vision plans provided
  • Mentorship and Learning - We'll support your growth in data analytics and reporting
  • Mission-Driven Work - You'll help schools and students use data to thrive