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Remote Insurance Data Analytics Jobs in Park Ridge, IL

Crash Champions

Senior Data Engineer - Remote

Westmont, IL · Remote

$106K - $144K/yr

As a member of our Data Analytics team, the role will work closely with ourData Architect and IT Directorand business stakeholders across the organization. * Responsible for working with business ...

RR Donnelley

eBilling Analyst - Remote

Warrenville, IL · Remote

$18.99 - $26.59/hr

The company's proprietary technology, advanced data analytics, and expertise fuel organizational ... off, disability insurance, 401(k) with company match, life insurance and other voluntary ...

RR Donnelley

eBilling Analyst - Remote

Warrenville, IL · Remote

$18.99 - $26.59/hr

The company's proprietary technology, advanced data analytics, and expertise fuel organizational ... off, disability insurance, 401(k) with company match, life insurance and other voluntary ...

Kemper

Director, Data Science Operations

Chicago, IL · Remote

$160K - $226K/yr

... Remote-MI, Remote-MN {+ 26 more} Details Director, Data Science Operations sought by Merastar Insurance Company in Chicago, IL. 40 hrs./wk. Duties include: Analyze, estimate & define data ...

HTP Solutions

Financial Data Analyst

Oakbrook Terrace, IL · On-site +1

$65K - $85K/yr

Training on proprietary tools, audit methodologies, and AI-driven analytics * Experience working ... Health insurance * Simple IRA with employer matching and immediate vesting * Paid time off ...

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All JobsInsurance Data Analytics JobsRemote Insurance Data Analytics JobsRemote Insurance Data Analytics Jobs in Park Ridge, IL

Remote Insurance Data Analytics information

See Park Ridge, IL salary details

$24

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$92

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

As of Aug 9, 2026, the average hourly pay for remote insurance data analytics in Park Ridge, IL is $53.87, according to ZipRecruiter salary data. Most workers in this role earn between $43.27 and $61.01 per hour, depending on experience, location, and employer.

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 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.

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 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.
What job categories do people searching Remote Insurance Data Analytics jobs in Park Ridge, IL look for? The top searched job categories for Remote Insurance Data Analytics jobs in Park Ridge, IL are:
What cities near Park Ridge, IL are hiring for Remote Insurance Data Analytics jobs? Cities near Park Ridge, IL with the most Remote Insurance Data Analytics job openings:
Remote Insurance Data Analytics jobs near you

Associate Director/Director - Analytics Consulting

Tiger Analytics Inc.

Chicago, IL • On-site, Remote

Full-time

Re-posted 4 hours ago

Job description

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

If you are passionate about working on business problems that can be solved using structured and unstructured data on a large scale, Tiger Analytics would like to talk to you.

Responsibilities

Program Leadership & Delivery: Lead the end-to-end delivery of complex data and analytics programs. Own the roadmap, from problem definition and solution design to production-grade deployment.

Stakeholder Management: Act as the primary point of contact for client VPs and Directors. Translate unstructured business problems into high-level analytics solution designs.

Global Team Management: Lead and mentor a hybrid team of onshore (US) and offshore (Global Delivery Center) data scientists and data engineers. Ensure seamless collaboration across time zones.

Solution Architecture: Work with technical leads to design of scalable AI/ML pipelines and data architectures. Ensure solutions adhere to enterprise standards and leverage modern technology stack

Domain Expertise: Apply deep Insurance domain knowledge to validate model outputs and ensure they align with industry nuances

Commercial Impact: Present analytical findings and quantify the business value and drive the operationalization of AI into business processes.

Requirements

  • 13-15 years of total experience with 7+ years in Insurance domain with consulting.
  • Ability to engage with executive/VP level stakeholders from client's team to translate business problems to high level analytics solution approach
  • Deep knowledge and understanding of the US Insurance industry.
  • Strong project management and team management skills and ability to work with global teams.
  • Solid understanding of statistical and machine learning algorithms is a plus.
  • Strong SQL skills and hands-on experience with analytic tools like R & Python; & visualization tools like Qlik or Tableau is a plus
  • Exposure to cloud platforms and big data systems such as Hadoop HDFS, Hive is a plus
  • Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processes
  • Graduate in Business Analytics or MBA or equivalent work experience

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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