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Business Intelligence Analyst Sr; Hybrid Webster or Boston

Job in Webster, Worcester County, Massachusetts, 01570, USA
Listing for: Mapfre
Full Time position
Listed on 2026-10-26
Job specializations:
  • IT/Tech
    Data Analyst
  • Insurance
Salary/Wage Range or Industry Benchmark: 100900 - 169900 USD Yearly USD 100900.00 169900.00 YEAR
Job Description & How to Apply Below

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Business Intelligence Analyst Sr (Hybrid Webster or Boston)

Date:
Oct 23, 2026

Location:

Webster, MA, US

Company: MAPFRE

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…

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