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Insurance Data Analytics 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 ...

Liberty Mutual

Assistant Director, Data Science

Boston, MA · On-site

$161K - $197K/yr

Apply insurance knowledge to conduct multiple forms of statistical analyses, such as building loss cost models and creating geographic loss data. * Translate big geographic data into production-level ...

New

Liberty Mutual

Assistant Director, Data Science

Boston, MA · On-site +1

$161K - $197K/yr

Apply insurance knowledge to conduct multiple forms of statistical analyses, such as building loss cost models and creating geographic loss data. * Translate big geographic data into production-level ...

New

Liberty Mutual

Senior Data Analytics Engineer

MA · On-site

$115K - $157K/yr

Modeling Data Solutions is seeking experienced data analytics engineers to join its personal lines ... Domain experience in personal lines Auto, Property, or other insurance product areas. * Proven ...

Liberty Mutual

Senior Data Analytics Engineer

Boston, MA

$106K - $197K/yr

Modeling Data Solutions is seeking experienced data analytics engineers to join its personal lines ... Domain experience in personal lines Auto, Property, or other insurance product areas. * Proven ...

Liberty Mutual

Senior Data Analytics Engineer

Boston, MA

$115K - $156K/yr

Modeling Data Solutions is seeking experienced data analytics engineers to join its personal lines ... Domain experience in personal lines Auto, Property, or other insurance product areas. * Proven ...

Raytheon

Factory Data Analytics Engineer

Andover, MA

$116K - $139K/yr

Create and maintain data visualization and statistical analysis tools that increase understanding ... life insurance, short-term disability, long-term disability, 401(k) match, flexible spending ...

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

Insurance Data Analytics information

See Boston, MA salary details

$26

$59

$102

How much do insurance data analytics jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for insurance data analytics in Boston, MA is $59.48, according to ZipRecruiter salary data. Most workers in this role earn between $47.79 and $67.36 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.

What are the most commonly searched types of Insurance Data Analytics jobs in Boston, MA? The most popular types of Insurance Data Analytics jobs in Boston, MA are:
What are popular job titles related to Insurance Data Analytics jobs in Boston, MA? For Insurance Data Analytics jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Insurance Data Analytics jobs in Boston, MA look for? The top searched job categories for Insurance Data Analytics jobs in Boston, MA are:
Insurance Data Analytics jobs near you
Infographic showing various Insurance Data Analytics job openings in Boston, MA as of July 2026, with employment types broken down into 1% Internship, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $123,712 per year, or $59.5 per hour.

Senior Insurance Data Science Consultant

Earnix

Boston, MA • On-site, Remote

Full-time

Re-posted 4 days ago

Job description

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.

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
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

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