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

The Advanced Data Analytics Lead role within the Data Strategy, Analytics and AI team will be ... Industry competitive benefits [paid time off, 401k, health insurance] * Hybrid working model - this ...

Senior Insurance Data Science Consultant

Boston, MA ยท 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 ...

... insurance, data, engineering, and machine learning teams. What You'll Do: * Manage a team of analysts, including training and guidance, establishing clear goals and responsibilities, and ongoing ...

... insurance, data, engineering, and machine learning teams. What You'll Do: * Manage a team of analysts, including training and guidance, establishing clear goals and responsibilities, and ongoing ...

... insurance, data, engineering, and machine learning teams. What You'll Do: * Manage a team of analysts, including training and guidance, establishing clear goals and responsibilities, and ongoing ...

Familiarity with insurance data standards and the regulatory environment affecting the actuarial functions. * Excellent analytical, organizational, and project management skills. * Effective ...

Marketing Data Analyst II

Boston, MA ยท On-site

$94K - $116K/yr

If you're passionate about data, storytelling through analytics, and helping drive strategic ... Company-Provided Life Insurance * Voluntary Life Insurance * Flexible Spending Account (FSA)

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Insurance Data Analytics information

See Boston, MA salary details

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How much do insurance data analytics jobs pay per hour?

As of Jun 26, 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?

Insurance Data Analytics involves analyzing large datasets to assess risk, set premiums, detect fraud, and improve underwriting accuracy. Data analysts in this field use statistical tools and machine learning techniques to inform decision-making and optimize insurance operations.

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.

Is 40 too late for data science?

For an Insurance Data Analytics role, starting a career in data science at age 40 is feasible, as the field values skills, experience, and continuous learning over age. Many professionals transition into data analytics later in their careers by acquiring relevant skills such as programming, statistics, and tools like SQL or Python, often through online courses or certifications.

Is AI replacing data analysts?

Insurance Data Analysts use AI tools to enhance data processing and insights, but AI is not replacing the role entirely. Instead, it automates routine tasks, allowing analysts to focus on complex analysis, strategy, and decision-making that require human judgment and domain expertise.

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:
Infographic showing various Insurance Data Analytics job openings in Boston, MA as of June 2026, with employment types broken down into 5% As Needed, 61% Full Time, 15% Part Time, 3% Temporary, 13% Contract, and 3% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% 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 โ€ข On-site, Remote

Full-time

Posted 13 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