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Insurance Data Analytics Jobs (NOW HIRING)

Oscar Health

Associate, Provider Data Analytics

Dallas, TX · Remote

$87K - $114K/yr

Oscar is the first health insurance company built around a full stack technology platform and a ... The Associate, Provider Data Analytics reviews provider data-related issues and scales solutions ...

Oscar Health

Associate, Provider Data Analytics

Tempe, AZ · On-site

$87K - $114K/yr

Oscar is the first health insurance company built around a full stack technology platform and a ... The Associate, Provider Data Analytics reviews provider data-related issues and scales solutions ...

EPIC Brokers

Lead Insurance Data Scientist

Atlanta, GA · On-site

$150/hr

There are many reasons why EPIC Insurance Brokers & Consultants has become one of the fastest ... Join our Enterprise Data & Analytics team and play a central role in advancing data analysis ...

EPIC Brokers

Lead Insurance Data Scientist

Chicago, IL · On-site

$150/hr

There are many reasons why EPIC Insurance Brokers & Consultants has become one of the fastest ... Join our Enterprise Data & Analytics team and play a central role in advancing data analysis ...

Oscar Health

Associate, Provider Data Analytics

Tempe, AZ · Hybrid

$87K - $114K/yr

Oscar is the first health insurance company built around a full stack technology platform and a ... The Associate, Provider Data Analytics reviews provider data-related issues and scales solutions ...

Oscar Health

Associate, Provider Data Analytics

Dallas, TX · On-site

$87K - $114K/yr

Oscar is the first health insurance company built around a full stack technology platform and a ... The Associate, Provider Data Analytics reviews provider data-related issues and scales solutions ...

Selective Insurance

Data & Analytics Architect

Charlotte, NC · On-site

$62.25 - $80/hr

Selective Insurance is a midsized U.S. domestic property and casualty insurance company with a strong financial performance history. The Data and Analytics Architect will be responsible for designing ...

Selective Insurance

Data & Analytics Architect

Short Hills, NJ · On-site

$69.25 - $89.25/hr

Selective Insurance is a midsized U.S. domestic property and casualty insurance company with a strong financial performance history. The Data and Analytics Architect will be responsible for designing ...

Selective Insurance

Data & Analytics Architect

Hartford, CT · On-site

$64.25 - $82.75/hr

Selective Insurance is a midsized U.S. domestic property and casualty insurance company with a strong financial performance history. The Data and Analytics Architect will be responsible for designing ...

Novacore

Insurance Data Entry Clerk

Huntsville, TX

$14.50 - $19.50/hr

We specialize in tailored solutions for niche industries, powered by advanced analytics, modern ... Insurance Data Entry Clerk The Insurance Center Data Entry Clerk provides customer service to ...

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Insurance Data Analytics information

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$94

How much do insurance data analytics jobs pay per hour?

As of Jul 7, 2026, the average hourly pay for insurance data analytics in the United States is $54.75, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.02 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Insurance Data Analytics position, and why are they important?

To thrive in Insurance Data Analytics, you need a solid understanding of data analysis, statistics, and insurance industry concepts, usually supported by a degree in mathematics, statistics, finance, or a related field. Proficiency with analytical tools like SQL, Python, R, and data visualization platforms (such as Tableau or Power BI), as well as certifications like CPCU or advanced analytics credentials, are highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts translate complex data into actionable business insights. These skills are crucial for driving informed decision-making, risk assessment, and operational improvements within insurance organizations.

What are the typical responsibilities of someone working in Insurance Data Analytics?

Professionals in Insurance Data Analytics are responsible for collecting, cleaning, and analyzing large sets of insurance-related data to identify trends, assess risk, and inform business decisions. They commonly develop predictive models, generate reports, and provide actionable insights that help underwriting teams, actuarial staff, and business leaders optimize processes or pricing strategies. Day-to-day tasks may also include collaborating with IT and business units to define data requirements, presenting findings to non-technical stakeholders, and ensuring data integrity. This role often involves a mix of independent analysis and team-oriented projects, offering a dynamic and engaging work environment for problem solvers.

How is data analytics used in insurance?

In insurance, data analytics is used by professionals to assess risk, set premiums, detect fraud, and improve customer segmentation. Analysts utilize tools like statistical models and machine learning algorithms to interpret large datasets, enabling more accurate underwriting and claims management. Strong analytical skills and knowledge of data visualization are essential for effective decision-making in this field.

What does a data analyst do in insurance?

An insurance data analyst collects, processes, and analyzes insurance data to identify trends, assess risks, and support decision-making. They use tools like Excel, SQL, and data visualization software to create reports and models that improve underwriting, claims management, and pricing strategies.

How much does an insurance analyst make?

The average salary for an insurance analyst is around $65,000 to $85,000 per year, depending on experience, location, and industry. Entry-level roles typically start lower, while experienced analysts with specialized skills or certifications can earn higher salaries. Strong analytical skills and proficiency with data tools like Excel or SQL are often required.

Will AI replace a data analyst?

AI can automate routine data processing and analysis tasks, but the role of a data analyst, including those in insurance data analytics, involves interpreting complex data, providing insights, and making strategic decisions that require human judgment. Therefore, AI is more likely to augment rather than fully replace data analysts, who also need skills in data visualization, domain knowledge, and communication. Continuous learning and proficiency with analytics tools remain important for the role.

What is an Insurance Data Analytics job?

An Insurance Data Analytics job involves analyzing large volumes of insurance-related data to identify trends, assess risks, detect fraud, and improve decision-making. Professionals in this field use statistical models, machine learning, and data visualization tools to extract insights that help insurers optimize pricing, enhance customer experience, and reduce losses. They work with claims data, policyholder information, and external data sources to drive business strategy. Strong analytical skills, proficiency in data tools like SQL, Python, or R, and knowledge of insurance principles are essential for success in this role.

More about Insurance Data Analytics jobs
What cities are hiring for Insurance Data Analytics jobs? Cities with the most Insurance Data Analytics job openings:
What are the most commonly searched types of Insurance Data Analytics jobs? The most popular types of Insurance Data Analytics jobs are:
What states have the most Insurance Data Analytics jobs? States with the most job openings for Insurance Data Analytics jobs include:
What job categories do people searching Insurance Data Analytics jobs look for? The top searched job categories for Insurance Data Analytics jobs are:
Insurance Data Analytics jobs near you
Infographic showing various Insurance Data Analytics job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 94% Full Time, 3% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $113,873 per year, or $54.7 per hour.
Associate, Provider Data Analytics

Associate, Provider Data Analytics

Oscar Health

Dallas, TX • Remote

$87K - $114K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago

Oscar Health rating

6.9

Company rating: 6.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

237th of 277 rated insurance

Job description

Hi, we're Oscar. We're hiring an Associate, Provider Data Analytics to join our Network Operations team.

Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family.

About the role:

The Associate, Provider Data Analytics reviews provider data-related issues and scales solutions through impact analysis. We are looking for collaboration with business and technical stakeholders to represent departmental needs in company-wide strategic initiatives and problem-solving. Key responsibilities include understanding business requirements, building and managing project plans, documenting decisions, and developing risk mitigation and change management strategies.

You will report into the Senior Manager, Provider Data Operations.

Work Location: This is a remote position, open to candidates who reside in: Dallas, Texas. You will be fully remote; however, our approach to work may adapt over time. Future models could potentially involve a hybrid presence at the hub office associated with your metro area. #LI-Remote

Pay Transparency: The base pay for this role is: $87,188.40 - $114,434.78 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program and annual performance bonuses.

Responsibilities:

  • Leads end-to-end management of cross-functional projects related to provider data issues, including issue analysis, stakeholder engagement, coordination of cross-functional relationships to drive collaboration, and participation in testing to ensure accurate and effective solutions
  • Collaborates with internal and external stakeholder groups to develop proactive solution plans for data issues, including communication strategies and program initiatives for successful change management and risk mitigation
  • Identifies trends in provider data issues and scale solutions by leveraging various analytics to assess the overall impact
  • Compliance with all applicable laws and regulations
  • Other duties as assigned

Requirements:

  • A bachelor's degree or 3+ years commensurate experience
  • 3+ years of work experience in operations, health insurance, data analysis, and/or consulting
  • 2+ years of experience using SQL and Excel
  • 2+ years of experience with end to end project management
  • 2+ years of experience in designing and improving workflows as well as standing up accompanying operating and technical procedures
  • 2+ years of experience with process improvement methodologies such as Lean, Six Sigma

Bonus points:

  • Bachelor's degree in Engineering, Business Administration, or other related field
  • Lean Six Sigma Green Belt certification or higher

This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here.

At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives.

Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements.

Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts.

Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known.

California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.

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