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Insurance Data Analyst Jobs in Boston, MA (NOW HIRING)

Earnix

Senior Insurance Data Science Consultant

Boston, MA · Remote

$89K - $109K/yr

We are seeking a highly experienced and strategically-minded Senior Insurance Data Science ... Lead pricing strategy discussions using advanced analytics and actuarial insight, ensuring ...

CYNET SYSTEMS

Public Health Data Analyst

Boston, MA · On-site

$45 - $50/hr

Statistical analysis. * Data visualization. * GIS. * Health systems research. * Surveillance ... Medical, Dental, and Vision Insurance * 401(k) Retirement Plan * Health Savings Account (HSA)

Point32health

Sr Business Data Analyst

Canton, MA · Hybrid

$90K - $114K/yr

Data knowledge in finance or clinical side of insurance business; demonstrated ability to develop and deliver data analytic solutions of a complex nature. * Demonstrated ability to manage multiple ...

Point32Health

Sr Business Data Analyst

Canton, MA · On-site

$90K - $114K/yr

Data knowledge in finance or clinical side of insurance business; demonstrated ability to develop and deliver data analytic solutions of a complex nature. * Demonstrated ability to manage multiple ...

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Showing results 21-40

All JobsInsurance Data Analyst JobsInsurance Data Analyst Jobs in Boston, MA

Insurance Data Analyst information

See Boston, MA salary details

$36.9K

$89.8K

$147.7K

How much do insurance data analyst jobs pay per year?

As of Sep 5, 2026, the average yearly pay for insurance data analyst in Boston, MA is $89,776.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,900.00 and $105,400.00 per year, depending on experience, location, and employer.

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 are the key skills and qualifications needed to thrive as an insurance data analyst?

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 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.

How much does an insurance data analyst for an insurance company make?

An insurance data analyst typically earns between $60,000 and $85,000 annually, depending on experience, location, and education. Entry-level positions may start lower, while experienced analysts with advanced skills or certifications can earn higher salaries. The role often requires proficiency in data analysis tools like SQL and Excel, and knowledge of insurance industry data.

What are popular job titles related to Insurance Data Analyst jobs in Boston, MA?

For Insurance Data Analyst jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Insurance Data Analyst jobs in Boston, MA look for?

The top searched job categories for Insurance Data Analyst jobs in Boston, MA are:

Insurance Data Analyst jobs near you
Infographic showing various Insurance Data Analyst job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 20% Part Time, and 5% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $89,776 per year, or $43.2 per hour.

Senior Insurance Data Science Consultant

Earnix

Boston, MA • Remote

$89K - $109K/yr

Full-time

Re-posted 25 days ago

Job description

We are seeking a highly experienced and strategically-minded Senior Insurance Data Science Consultant to join our growing analytics team. This role is ideal for a seasoned professional with actuarial experience and deep expertise in predictive modeling, machine learning, and insurance analytics. You will play a pivotal role in influencing client decision-making, shaping pricing strategies and delivering actionable insights to clients across multiple lines of business. 

This role is based in Texas, supporting our regional clients, and is part of our North America team headquartered in Boston, MA.

What you'll do

  • Lead pricing strategy discussions using advanced analytics and actuarial insight, ensuring decisions are grounded in data and aligned to business outcomes.  
  • Engage directly with senior executives, translating complex technical results into clear, compelling narratives that drive alignment and action.  
  • Build and evolve predictive models that assess risk and forecast demand—directly shaping pricing and business decisions across insurance products.  
  • Influence decision-making at the highest levels by connecting analytics to business value and strategic priorities.  
  • Demonstrate Earnix capabilities in executive and client settings, showing not just how the platform works—but what it enables.  
  • Lead onboarding and training for new users, ensuring fast adoption and rapid time-to-value from day one.  
  • Act as a trusted advisor to clients, bridging business, analytics, and technology to deliver measurable impact. 

Position Intro:

Earnix is the premier provider of mission-critical, cloud-based intelligent decisioning across pricing, rating, underwriting, and product personalization. These fully-integrated solutions provide ultra-fast ROI and are designed to transform how global insurers and banks are run by unlocking value across all facets of the business. Earnix has been innovating for insurers and banks since 2001 with customers in over 35 countries across six continents and offices in the Americas, Europe, Asia Pacific, and Israel


Requirements:

You’ll do it using:

  • 15+ years of experience in the insurance industry, with deep expertise in analytics, actuarial modeling, and predictive techniques.
  • Strong hands-on experience with machine learning and statistical modeling to improve the accuracy, performance, and business impact of risk and pricing models.
  • Advanced proficiency in programming languages such as Python and R, applied to building, validating, and deploying scalable analytical solutions.
  • Experience working with intelligent decisioning platforms (such as Earnix or similar), integrating models into real-time pricing and personalization workflows.
  • Strong executive presence with the ability to engage, influence, and advise senior stakeholders in client organizations.
  • Willingness and flexibility to travel up to 40% domestically and internationally.

You’ll excel by:

  • Communicating with clarity and executive presence, making complex data and models actionable for senior leadership.
  • Building trusted client relationships, understanding business needs, and delivering insights that drive measurable strategic outcomes.
  • Collaborating across teams, sharing knowledge and mentoring others to elevate the organization’s analytical capability.
  • Adapting quickly to new challenges, staying curious and proactive in a fast-paced, innovation-driven environment.

Salary Range:

$ 180,000-204,000 per year