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Insurance Data Analyst Jobs in Rhode Island (NOW HIRING)

Healthcentric Advisors

Data Analyst

Warwick, RI · On-site

$60K - $75K/yr

Data Analyst Healthcare Data Analytics Experience Preferred Location: Warwick, RI Experience: 1+ ... Experience in analyzing health insurance claims is preferred. We value proactive individuals who ...

New

Healthcentric Advisors

Data Analyst

Warwick, RI · On-site

$60K - $75K/yr

Data Analyst Healthcare Data Analytics Experience Preferred Location: Warwick, RI Experience: 1+ ... Experience in analyzing health insurance claims is preferred. We value proactive individuals who ...

New

Healthcentric Advisors

Data Analyst

Warwick, RI · On-site

$60K - $75K/yr

Data Analyst Healthcare Data Analytics Experience Preferred Location: Warwick, RI Experience: 1+ ... Experience in analyzing health insurance claims is preferred. We value proactive individuals who ...

New

Digipulse Technologies, Inc

Data Analyst

Smithfield, RI · On-site

... Insurance, Financial, Hospitality, Telecommunication, Pharmaceutical & Banking sectors. About the ... The candidate must be proficient in data analysis, systems analysis or implementation analysis ...

Kforce Technology Staffing

Data Analyst

Smithfield, RI · On-site

Analyzing the client source data to identify issues, potential causes, and suggested remediation ... We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and ...

CGI Inc.

BI / Data Analyst

Smithfield, RI · On-site

Comprehensive insurance options . Matching contributions through the 401(k) plan and the share ... Data Analysis * Database * Financial Services * SQL * Tableau * Amazon Web Services Cloud * Data ...

Mastech Digital

Systems/Data Analyst

Smithfield, RI · On-site

$55 - $60/hr

We are currently seeking a Systems/Data Analyst for our client in the Financial Services domain. We ... Ortho) & Vision Insurance (Option to Enroll). - Paid Leaves (Wherever applicable). - Life ...

Bcbsri

Data Warehousing Analyst

Providence, RI · On-site +1

$83K - $124K/yr

We offer health, dental, and vision insurance as well as programs that support your mental health ... Analyze, define, maintain, and manage business data contained within the enterprise data warehouse.

Allstate

You will work at the intersection ofinvestment teams, analytics platforms, and data systems ... Insurance asset management experience is a plus Technical Skills * ProficiencyinSQL and python

Bcbsri

Senior Data Visualization Analyst

Providence, RI · On-site +1

$93K - $140K/yr

We offer health, dental, and vision insurance as well as programs that support your mental health ... Collaborate with data engineering and analytics teams to source, model, andoptimizedatasets ...

Freedman HealthCare LLC

Data Engineer 1

Providence, RI · On-site

$80K - $96K/yr

Analyze and interpret health insurance exchange data and related datasets to identify patterns, trends, and insights * Generate reports, dashboards, and visualizations to communicate findings ...

RISE GROUP INC

FP&A Analyst

Cranston, RI · On-site

The FP&A Analyst will collaborate with Accounting, IT, Data Analytics, and business leaders across ... Employer-paid life and AD&D insurance; access to short and long-term disability insurance.

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Showing results 1-20

All JobsInsurance Data Analyst JobsInsurance Data Analyst Jobs in Rhode Island

Insurance Data Analyst information

See Rhode Island salary details

$33.3K

$80.9K

$133.2K

How much do insurance data analyst jobs pay per year?

As of Jul 15, 2026, the average yearly pay for insurance data analyst in Rhode Island is $80,930.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,200.00 and $95,000.00 per year, depending on experience, location, and employer.

How much does an insurance analyst make?

An insurance data analyst typically earns between $60,000 and $85,000 annually, depending on experience, location, and certifications. Entry-level positions may start lower, while experienced analysts with advanced skills or specialized knowledge can earn higher salaries. They often work with data analysis tools like Excel, SQL, and statistical software in an office environment.

What is the difference between Insurance Data Analyst vs Actuary?

AspectInsurance Data AnalystActuary
Required CredentialsBachelor's degree in statistics, data science, or related field; often certifications like CAP or CPCUBachelor's degree in mathematics, statistics, or actuarial science; professional actuarial exams and credentials (e.g., ASA, FSA)
Work EnvironmentData analysis teams within insurance companies, focusing on data modeling and reportingActuarial departments, focusing on risk assessment, pricing, and reserving
Employer & Industry UsageInsurance companies, brokers, and consulting firmsInsurance companies, consulting firms, government agencies

While both roles involve working with insurance data, Insurance Data Analysts focus on data collection, analysis, and reporting, whereas Actuaries specialize in risk modeling and financial forecasting using advanced mathematics and actuarial exams. The roles often collaborate but serve different strategic functions within insurance organizations.

Do insurance companies need a data analyst?

Insurance companies rely on data analysts to interpret large datasets, assess risk, and support decision-making processes. Data analysts use tools like SQL and Excel, and often require industry knowledge and analytical skills to improve underwriting, claims management, and pricing strategies.

What are the key skills and qualifications needed to thrive as an Insurance Data Analyst, and why are they important?

To thrive as an Insurance Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in mathematics, finance, or a related field, often supported by a relevant degree. Familiarity with data analysis tools such as SQL, Excel, Python, and data visualization platforms, as well as knowledge of insurance-specific databases and certifications like CPCU or AIDA, is highly valued. Attention to detail, problem-solving, and effective communication are crucial soft skills for interpreting complex data and presenting insights to stakeholders. These skills ensure accurate risk assessment, data-driven decision-making, and effective support of business objectives in the insurance industry.

How does an Insurance Data Analyst typically collaborate with underwriters and actuaries?

Insurance Data Analysts frequently work alongside underwriters and actuaries to provide data-driven insights that inform risk assessment and pricing decisions. Analysts gather, clean, and interpret large sets of policyholder and claims data, then present actionable findings through reports or dashboards. Regular meetings and joint projects ensure that underwriters and actuaries have the most accurate, up-to-date information to make decisions, and that data models align closely with business needs. Strong communication and teamwork skills are essential for success in this collaborative environment.

What does an Insurance Data Analyst do?

An Insurance Data Analyst is responsible for collecting, processing, and analyzing data related to insurance policies, claims, customer behavior, and market trends. They use statistical tools and software to identify patterns, assess risks, and provide actionable insights that help insurance companies make informed decisions. Their work supports pricing strategies, fraud detection, customer retention, and overall business performance. Insurance Data Analysts often collaborate with underwriters, actuaries, and business managers to optimize processes and improve profitability.

What does a data analyst do in insurance?

An insurance data analyst examines large datasets to identify trends, assess risk, and support decision-making for insurance policies and claims. They use tools like Excel, SQL, and data visualization software to interpret data and improve underwriting, pricing, and fraud detection processes.

Is 40 too late for data science?

For an Insurance Data Analyst, age is not a barrier to entering data science. Many professionals successfully transition into data roles later in their careers by developing relevant skills such as programming, statistics, and data visualization, often through online courses or certifications. Experience in insurance or related fields can also be valuable in this career path.
What are popular job titles related to Insurance Data Analyst jobs in Rhode Island? For Insurance Data Analyst jobs in Rhode Island, the most frequently searched job titles are:
What job categories do people searching Insurance Data Analyst jobs in Rhode Island look for? The top searched job categories for Insurance Data Analyst jobs in Rhode Island are:
Insurance Data Analyst jobs near you
Infographic showing various Insurance Data Analyst job openings in Rhode Island as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 81% Full Time, 11% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $80,930 per year, or $38.9 per hour.
Data Analyst

Data Analyst

Healthcentric Advisors

Warwick, RI • On-site

$60K - $75K/yr

Full-time

Medical, Retirement, PTO

Posted 2 days ago

New

Job description

Data Analyst
Healthcare Data Analytics Experience Preferred
Location: Warwick, RI
Experience: 1+ years healthcare data analytics experience
Education: A minimum of a bachelor's degree in epidemiology, biostatistics, health services research, public health, health informatics, or a related field is required. A master's degree in any of these disciplines is preferred.
About Healthcentric Advisors
Healthcentric Advisors is a nationally recognized quality improvement organization helping providers and stakeholders measure and improve care and outcomes. As a Quality Improvement Organization (QIO), we lead initiatives funded by federal, state, and private partners.
We offer a competitive benefits package, including 22 paid leave days, comprehensive health coverage, a generous 401(k) contribution, and a flexible work environment.
We are seeking a detail-oriented and collaborative Data Analyst. This important role involves analyzing, interpreting, and reporting complex health data to assess the quality of health care and communicate the results of those analyses to project staff and external stakeholders.
The ideal candidate has experience with health care quality data, has excellent communication, problem solving and time management skills.
Responsibilities
  • Develop and implement appropriate statistical programs to analyze data; does so for multiple projects and on multiple project teams.
  • Applies methodological knowledge and skill to ensure appropriate data analysis and reporting in all areas.
  • Maintain data for multiple project teams; trends, charts and graphs quality measure data.
  • Develop data collection tools or surveys using REDCap or SurveyMonkey.
  • Develop and implement evaluation and analysis plans.
  • Serve as contributing author to reports, proposals, presentations and publications.
  • Summarize and present statistical and/or research findings, analytic methodologies and stakeholder reports to internal and external audiences.

Qualifications
  • A minimum of a bachelor's degree in epidemiology, biostatistics, health services research, public health, health informatics, or a related field is required. A master's degree in any of these disciplines is preferred.
  • 1+ years' healthcare data analytics experience.
  • Microsoft Excel experience is required.
  • Experience in Python, PySpark or SQL is required.
  • Microsoft Power BI experience is preferred.
  • Experience in analyzing health insurance claims is preferred.

We value proactive individuals who thrive on accuracy, organization, and delivering outstanding support every day.
The salary range for this position is $60,000 to $75,000 based upon the candidate's relevant experience. Most qualified candidates will fall within the mid-point of this range.
We are an Equal Opportunity Employer. Race, color, religion, age, gender, sexual orientation, gender identity or expression, disability, marital or veteran status, place of national origin and other categories protected by law are not factors in employment, promotion, compensation or working conditions.

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