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Senior Insurance Data Analytics Jobs in Massachusetts

CGI Inc.

Senior Insurance Industry Advisor

Burlington, MA · On-site

$148K - $149K/yr

Senior Insurance Industry Advisor Category: Leadership and Management Roles Main location: United ... data & analytics), supported by a strong understanding of insurance technology providers and ...

Lancesoft

Data Analytics Engineer

Springfield, MA · On-site

$80 - $85/hr

Leverage scalable data pipelines, models, and architectures that enable Cyber analytics, AI ... for senior leaders and nontechnical audiences. Education: * Bachelor's degree Meet Your Recruiter ...

State Street Corporation

Data Analytics

Boston, MA · On-site

$146K - $176K/yr

Data Analytics (State Street Bank and Trust Company; Boston, MA): Specific duties of the position ... company match; insurance coverage including basic life, medical, dental, vision, long-term ...

State Street Global Advisors

Data Analytics

Boston, MA

$146K - $176K/yr

Data Analytics (State Street Bank and Trust Company; Boston, MA): Specific duties of the position ... company match; insurance coverage including basic life, medical, dental, vision, long-term ...

Tive

Senior Data Analyst

Boston, MA · On-site

$110K - $140K/yr

As a senior member of Tive's global Data Team, you will be responsible for developing customer-facing analytics products that illuminate supply chain health and shipment performance, while also ...

Repligen

$93K - $116K/yr

As a Data & Analytics Specialist, you will support the development, execution, and optimization of marketing analytics and reporting capabilities with a strong focus on data accuracy, AI-driven ...

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Senior Insurance Data Analytics information

What are the key skills and qualifications needed to thrive as a senior insurance data analytics professional?

To thrive as a Senior Insurance Data Analytics professional, you need a strong background in statistics, data analysis, and domain knowledge of insurance, often supported by a degree in mathematics, statistics, or a related field. Expertise in data analytics tools such as SQL, Python, R, and experience with business intelligence platforms like Tableau or Power BI are typically required. Strong problem-solving skills, attention to detail, and the ability to communicate complex insights clearly set top performers apart in this role. These skills are crucial for driving data-driven decision-making, identifying business opportunities, and improving risk assessment and operational efficiency within insurance organizations.

What does a senior insurance data analytics professional do?

A Senior Insurance Data Analytics professional analyzes large datasets to help insurance companies make informed decisions about risk, pricing, claims, and customer behavior. They use statistical methods, data modeling, and business intelligence tools to uncover trends and insights that can improve operational efficiency and profitability. In addition to interpreting complex data, they often collaborate with other departments to develop data-driven strategies and may oversee or mentor junior analysts within the team.

What is the difference between Senior Insurance Data Analytics vs Insurance Data Analyst?

AspectSenior Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; often with experience in insurance analyticsBachelor's in related field; entry to mid-level experience
Work EnvironmentSenior roles often involve leadership, project management, and strategic planning within insurance companiesFocus on data collection, analysis, and reporting under supervision or team guidance
Employer & Industry UsageUsed across insurance firms, especially in analytics, underwriting, and actuarial departmentsCommonly employed in insurance companies, focusing on data processing and reporting

Senior Insurance Data Analytics professionals typically have more experience, advanced skills, and leadership responsibilities compared to Insurance Data Analysts. While both roles require strong analytical skills and familiarity with insurance data, seniors often oversee projects, develop strategies, and mentor junior staff, whereas analysts focus on data analysis and reporting tasks.

What are some common challenges faced by senior insurance data analytics professionals when working with large and complex datasets?

Senior Insurance Data Analytics professionals often encounter challenges such as integrating data from multiple legacy systems, ensuring data quality and accuracy, and managing sensitive information in compliance with regulations. Additionally, translating complex analytical findings into actionable insights for non-technical stakeholders can be demanding. Overcoming these challenges requires strong technical skills, clear communication, and close collaboration with IT, underwriting, and actuarial teams.
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 Senior Insurance Data Analytics jobs? Cities in Massachusetts with the most Senior Insurance Data Analytics job openings:
Senior Insurance Data Analytics jobs near you

Senior Insurance Data Science Consultant

Earnix

Boston, MA • On-site, Remote

Full-time

Re-posted 25 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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