ZipRecruiter

Log In

1

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

Next Insurance

AI Underwriting Data Manager

Boston, MA · On-site

... 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 ...

Busek Co Inc

Data Analyst

Natick, MA · On-site

Bachelor's degree in Engineering, Data Analytics, Mathematics, Computer Science, Physics ... Health, dental, and vision insurance. * Paid time off and holidays. * Retirement savings plan (401k)

Busek

Data Analyst

Natick, MA · On-site

Bachelor's degree in Engineering, Data Analytics, Mathematics, Computer Science, Physics ... Health, dental, and vision insurance. * Paid time off and holidays. * Retirement savings plan (401k)

ARTHREX

Marketing Data Analyst II

Boston, MA · 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)

New England Life Care

Financial Data Analyst

Woburn, MA · On-site

$90K - $104K/yr

Life insurance, Short- and long-term disability insurance * Paid time off * And much more! Primary Responsibilities: * Collect, clean, and analyze financial and operational data from multiple ...

New England Life Care

Financial Data Analyst

Canton, MA · On-site

$90K - $104K/yr

Life insurance, Short- and long-term disability insurance * Paid time off * And much more! Primary Responsibilities: * Collect, clean, and analyze financial and operational data from multiple ...

next page

Showing results 1-20

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.
AI Underwriting Data Manager

AI Underwriting Data Manager

Next Insurance

Waltham, MA

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 13 days ago

Job description

Location: Waltham, MA (hybrid)

ERGO NEXT's mission is to help entrepreneurs thrive. We're doing that by building the only technology-led, full-stack provider of small business insurance in the industry, taking on the entire value chain and transforming the customer experience.

Simply put, wherever you find small businesses, you'll find ERGO NEXT.

Since 2016, we've helped hundreds of thousands of small business customers across the United States get fast, customized and affordable coverage. We're backed by industry leaders in insurance and tech, and we still have room to grow — that's where you come in.

Seize the opportunity to be a part of an exciting transition in the insurance industry! We're inviting an accomplished and forward-thinking data manager to join our AI Underwriting team. This pivotal role will have you innovating and developing groundbreaking digital underwriting features in partnership with our 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 performance management
  • Manage the overall budget for underwriting third-party data.
  • Deliver substantial savings by identifying efficiencies and ways to in-house data services.
  • Own and drive the product roadmap for data integrations.
  • Serve as the key business connection for external data vendors.
  • Partner with the procurement team on vendor contract negotiations.
  • Collaborate with internal stakeholders to identify and onboard new external data vendors.
  • Manage the Proof of Concept process for testing and evaluating new data vendors.
  • Create detailed product requirements for services that leverage data integrations.
  • Define success criteria for Proofs of Concept and evaluate results in partnership with underwriting.
  • Prioritize PoCs and provide regular reporting on progress and outcomes to senior leadership.
  • Oversee vendor performance metrics and usage reporting, using results to inform strategic decisions.
  • Escalate critical vendor issues and maintain high-level relationships with vendor leadership.
What We Need:
  • Budget Oversight: Proven experience in managing and tracking a data budget, including forecasting, monitoring monthly expenditures, and identifying areas to optimize spending.
  • Vendor Negotiation: Strong negotiation skills to secure favorable terms with data vendors, ensuring cost-effective solutions that meet business needs.
  • Relationship Management: Ability to build and maintain strong relationships with external data vendors, ensuring smooth collaboration and service delivery.
  • API Proficiency: Proficient in using API clients such as Postman to test, run, and troubleshoot API services.
  • Technical Documentation: Ability to read, understand, and apply API documentation for integration purposes.
  • Service Evaluation: Capability to assess new data services, including running Proof of Concepts (PoCs) to determine their fit for the company's needs.
  • Roadmap Development: Experience in developing and maintaining a roadmap for data integrations, aligning with the company's strategic goals and underwriting needs.
  • Executive Communication: Strong presentation skills to effectively communicate the integration roadmap and progress to executives and other senior stakeholders.
  • Cross-Functional Collaboration: Ability to work closely with internal stakeholders, including product, engineering, and underwriting teams, to ensure successful implementation of the roadmap.
  • Data Analysis: Ability to interpret vendor data using SQL or Python to validate performance and support strategic decisions.

Note on Fraudulent Recruiting
We have become aware that there may be fraudulent recruiting attempts being made by people posing as representatives of ERGO NEXT Insurance. These scams may involve fake job postings, unsolicited emails, or messages claiming to be from our recruiters or hiring managers.
Please note, we do not ask for sensitive information via chat, text, or social media, and any email communications will come from the domain @next-insurance.com or @nextinsurance.com. Additionally, Next Insurance will never ask for payment, fees, or purchases to be made by a job applicant. All applicants are encouraged to apply directly to our open jobs via the careers page on our website. Interviews are generally conducted via Zoom video conference unless the candidate requests other accommodations.
If you believe that you have been the target of an interview/offer scam by someone posing as a representative of Next Insurance, please do not provide any personal or financial information. You can find additional information about this type of scam and report any fraudulent employment offers via the Federal Trade Commission's website (https://consumer.ftc.gov/articles/job-scams), or you can contact your local law enforcement agency.

The range displayed on this job posting reflects the minimum and maximum target for new hire base salaries for the position in the location(s) listed. Within the range, individual pay is determined by additional factors, including, without limitation, job-related skills, experience, and relevant education or training. ERGO NEXT employees are also potentially eligible for our annual performance-based incentive program, in addition to our benefits package, consisting of our partially subsidized medical plan, fully subsidized vision/dental options, life insurance, disability insurance, 401(k), flexible paid time off, parental leave and more.

US annual base salary range for this full-time position:
$152,000—$179,000 USD

Don't meet every single requirement? Studies have shown that some underrepresented people are less likely to apply to jobs unless they meet every single qualification. At ERGO NEXT, we are dedicated to building a diverse, inclusive and respectful workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

One of our core values is 'Play as a Team'; this means making sure everyone has an equal chance to participate and make a difference. We win by playing together. ERGO Next Insurance is an equal opportunity employer and prioritizes building a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants of any type and do not discriminate based on race, color, religion, national origin, gender, age, sexual orientation, physical or mental disability, genetic information or characteristic, gender identity and expression, veteran status, or other non-job-related characteristics or other prohibited grounds specified in applicable federal, state, and local laws. ERGO Next's policy is to comply with all applicable laws related to nondiscrimination and equal opportunity and will not tolerate discrimination or harassment based on any of these characteristics. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.