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Insurance Data Analytics Jobs in Massachusetts (NOW HIRING)

GCS, Data Analyst

Quincy, MA · On-site

$90K - $157K/yr

Previous experience in analytics, quickly generating insights from various security data sources ... company match; insurance coverage including basic life, medical, dental, vision, long-term ...

Data Analyst

Brockton, MA · On-site

$80K - $90K/yr

You will be provided with great benefits such as Medical, Dental, Vision, 401(k), Life Insurance ... Make a difference as a Data Analyst We are seeking a Data Analyst to join our data team. We are a ...

Data Analyst

Brockton, MA · On-site

$80K - $90K/yr

You will be provided with great benefits such as Medical, Dental, Vision, 401(k), Life Insurance ... Make a difference as a Data Analyst We are seeking a Data Analyst to join our data team. We are a ...

Data Analyst

Brockton, MA · On-site

$80K - $90K/yr

You will be provided with great benefits such as Medical, Dental, Vision, 401(k), Life Insurance ... Make a difference as a Data Analyst We are seeking a Data Analyst to join our data team. We are a ...

Data Architect

Boston, MA · On-site

$69.25 - $89/hr

Verisk is a leading data analytics and technology partner to the global insurance industry. They are seeking an experienced Cloud Native AWS Data Architect to lead the design and implementation of ...

Insurance Specialist HQ

Boston, MA · On-site

$85K - $100K/yr

Gather and analyze financial and insurance data for renewals of annual insurance programs; develop coverage needs, present recommendations, and prepare renewal applications. * Conduct reviews and ...

Gather and analyze financial and insurance data for renewals of annual insurance programs; develop coverage needs, present recommendations, and prepare renewal applications. * Conduct reviews and ...

Data Scientist I

Boston, MA · On-site

$117K - $163K/yr

Master's degree in Data Analytics, Engineering, Operations Research, Statistics, Applied ... We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life ...

Sr Business Data Analyst

Canton, MA · On-site

$90K - $114K/yr

... analytics. * 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 ...

Sr Business Data Analyst

Canton, MA · Hybrid

$90K - $114K/yr

... analytics. * 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 ...

Data Scientist I

Boston, MA · On-site +1

$117K - $163K/yr

Master's degree in Data Analytics, Engineering, Operations Research, Statistics, Applied ... We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life ...

Showing results 41-60

Insurance Data Analytics information

See Massachusetts salary details

$26

$59

$103

How much do insurance data analytics jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for insurance data analytics in Massachusetts is $59.79, according to ZipRecruiter salary data. Most workers in this role earn between $48.03 and $67.74 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 Massachusetts? The most popular types of Insurance Data Analytics jobs in Massachusetts are:
What cities in Massachusetts are hiring for Insurance Data Analytics jobs? Cities in Massachusetts with the most Insurance Data Analytics job openings:
Infographic showing various Insurance Data Analytics job openings in Massachusetts as of July 2026, with employment types broken down into 1% Internship, 86% Full Time, 10% Part Time, 1% Temporary, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $124,364 per year, or $59.8 per hour.
GCS, Data Analyst

$90K - $157K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Job description

Who we are looking for

We are seeking a skilled Data Analyst to join our Fusion Analytics and Data Engineer Team, focusing on building out presentations and etl data pipelines to support our automation initiative.

Why This Role is important to us

You will be helping the team visualize our scorecard and metric presentations aiming to provide insight into various EPO functions within Cyber Fusion.

The ideal candidate will bring strong technical capabilities and analytical skill, leveraging their experience in data analytics to support data-driven insights and build sustainable analytics solutions.

What you will be responsible for

  • Design and implement etl workflows and presentations using Databricks and PowerBI
  • Ensure thorough documentation of workflows, procedures and technical configurations for successful knowledge management
  • Develop, maintain, and enhance dashboards, reports, scorecards, and analytical views that support enterprise business and operational priorities.
  • Analyze data from multiple sources to identify trends, patterns, anomalies, and opportunities for process or performance improvement.
  • Partner with stakeholders to understand business questions, define metrics, gather requirements, and translate analytical findings into clear recommendations.
  • Use tools such as SQL, Excel, Power BI, Python, or enterprise data platforms to extract, transform, validate, and visualize data.
  • Document data definitions, assumptions, analytical logic, reporting workflows, and procedures to support consistency, transparency, and knowledge sharing

Education & Preferred Qualifications

  • Bachelor or above degree in Computer Science or related field.
  • 3+ years strong experience working as a data analyst, security data analyts, security engineer or on a SOC team.
  • In-depth understanding of Agile/Scrum values and principles; rich experience of working at high- efficient Scrum cross-functional team of software development and delivery.
  • Excellent verbal and written communication skills at all stakeholder levels across multiple countries globally.
  • Intermediate to advanced hands-on experience with Python, SQL and Databricks.
  • Previous experience in analytics, quickly generating insights from various security data sources.

What We Value

  • Open minded, fast learner, self-motivated, result driven, detail oriented, candid attitude, team player, high commitment spirit.
  • Motivated by an Agile, fast-paced, global team environment with all-round cultural respects.
  • Self-driven and highly motivated to deliver top-tier solutions with cohesive collaborations and teamwork.

Salary Range:

$90,000 - $157,500 Annual

The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.

Employees are eligible to participate in State Street's comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans.

For a full overview, visit https://hrportal.ehr.com/statestreet/Home.

About State Street

Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.

We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you'll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.

As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.

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It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.