Go beyond reporting what happened. Help Claims decide what happens next.
We are expanding our analytics capabilities and looking for an experienced Claims professional who can turn complex data into clear business decisions.
This is a hands-on role with visibility and influence. You will investigate the questions affecting Claims’ performance, challenge assumptions, and recommend where to act. You will work directly with business leaders, measure whether changes are delivering results and help shape how the organization uses analytics and AI to improve Claims outcomes.
Join a Claims organization investing in stronger analytics, modern data capabilities, and better ways of working.
This position requires hybrid work from our Webster or Boston, Massachusetts office. Fully remote candidates are not being considered.
This role is not eligible for sponsorship now or in the future.
What You'll Do
- Own complex analytical questions from problem definition and data exploration through recommendations and executive communication.
- Analyze claims performance, including claim frequency and severity, loss and expense trends, operational performance, and customer outcomes, to explain underlying drivers and identify opportunities.
- Proactively identify emerging issues, challenge assumptions, and bring a clear point of view on where the business should act.
- Use SQL and business intelligence tools to independently explore, combine, validate, and analyze complex claims data.
- Develop analytical solutions, dashboards, and clear narratives that help leaders understand performance and make decisions.
- Partner with Claims and cross-functional teams to evaluate options and translate findings into practical action.
- Measure whether business initiatives deliver the intended results, explain why, and recommend what should happen next.
- Use AI to accelerate exploration and repetitive work while applying sound judgment, validating outputs, and protecting sensitive data.
- Lead analytical projects, share expertise with other analysts, and strengthen reusable methods and analytical standards.
What You'll Bring
- Property & Casualty Claims experience is required, including a strong understanding of claims data, operations, and the factors that influence outcomes.
- Six or more years of progressively responsible experience in analytics, business intelligence, or a related analytical role.
- Advanced SQL skills, including the ability to independently explore, combine, reconcile, and validate complex datasets.
- Experience with business intelligence tools, such as Microsoft Power BI.
- Strong analytical judgment, including the ability to structure ambiguous questions, identify meaningful drivers, and translate findings into practical recommendations.
- Experience using AI tools to improve analytical work, or a demonstrated ability to quickly adopt new tools and methods.
- Clear written and verbal communication, including the ability to explain complex findings, recommend a course of action, and influence senior leaders.
- Experience leading analytical projects, influencing across functions, and helping other analysts strengthen their capabilities.
- A bachelor's degree or equivalent professional experience.
Preferred Experience
- Experience applying analytics to claims performance, operational improvement, financial outcomes, or customer experience.
- Experience with SAS, Python, R, or comparable analytical tools.
- Experience evaluating the impact of business, process, technology, or organizational changes.
- Relevant insurance credentials, such as CPCU, AIC, or an analytics-related certification.
Why Mapfre?
As a global insurance leader with a strong local presence, we offer more than a job- we provide a purpose-driven career where your growth, well-being, and impact truly matter.
Purpose & Culture: Join a company built on trust, collaboration, and inclusion. Our values guide everything we do, creating a workplace where people feel respected and empowered.
Career Growth: Advance your skills through tuition reimbursement, leadership programs, and internal mobility opportunities. Your development is our priority.
Social Responsibility: Contribute to meaningful initiatives through Fundación Mapfre, supporting communities and sustainability worldwide.
Pay Transparency: The typical starting salary range for this role is determined by several factors including skills, experience, education, certifications, and location. Some roles at Mapfre are eligible for commission and/or bonus earnings, in addition to salary, calculated based upon factors set forth in the compensation plan for the role.
Salary Range: $100,900- $169,900
Benefits Highlights:
At Mapfre, we invest in our employees' well-being by offering a comprehensive benefits package, including:
- Paid Time Off (PTO): A flexible PTO program that combines vacation, personal, volunteer and sick time into one convenient bank of paid time off.
- 401(k) & Profit Sharing: Eligible employees may participate in Mapfre's 401(k) plan that includes company matching contributions up to certain amounts under the terms of the plan.
- Medical, Dental and Vision Coverage: Choice of comprehensive medical, dental and vision insurance coverage under group plans offered by the company.
- Other Benefits Include: STD, LTD, Life Insurance, FSA, HSA and various wellness programs
Benefits provided are subject to the terms and conditions of the applicable benefit plan or policy. The Company reserves the right to alter, amend, or terminate benefits in its sole discretion. To learn more about our benefit offerings please visit: https://mapfre.gobenefits.net/
If you require a reasonable accommodation during the application or selection process, please contact the Mapfre Talent Acquisition team at talentacquisition@mapfre.com. Mapfre is proud to be an Equal Opportunity Employer.
Important Notice:
The information above is intended to provide a general overview of available benefits. Eligibility, plan provisions, and coverage are governed by the terms and conditions of the applicable benefit plans and policies, which may be modified from time to time.