Senior Analyst, Property Claims Analytics

Liberty Mutual; Boston (MA); On-site; USD 83,000 - 157,000; Full time

Benefits offered by this job

Referral bonus $1500

Job summary

Liberty Mutual is seeking a Senior Analyst to join the Loss Insights Analytics team within US Retail Markets Property Claims. You will design high‑complexity analyses that influence claims handling and financial outcomes, translating data into actionable recommendations for senior stakeholders.

You will lead moderately complex projects, build reporting frameworks, and partner with Claims Process, Data Office, and Product teams to drive measurable improvements.

Qualifications

• Bachelor's degree in quantitative field required; 3+ years preferred.
• Advanced knowledge of data sources, tools, statistics, and methodologies.
• Proficiency in Excel (VBA, macros, scripts) and PowerPoint; knowledge of SAS or Snowflake.

Responsibilities

• Design and execute high-complexity analyses across claims lifecycle.
• Build and maintain reporting frameworks for initiative success and financial metrics.
• Lead end-to-end analytical projects with key partners to deliver measurable impact.
• Synthesize multi-source data into concise recommendations for senior stakeholders.
• Proactively identify new analytical opportunities to improve customer outcomes.

Skills

SAS

SQL

Python

R

Excel VBA

Data visualization

Education

Bachelor's degree in quantitative field

Tools

Snowflake

Excel

Job description

Senior Analyst, Property Claims Analytics

• Job Locations: US-MA-Boston | US-TX-Plano | US-FL-Lake Mary | US-Remote
• ID: 2026-261718
• Position Type: Full-Time
• Job Grade: 15
• Department: 043D-05166 Property I&S
• Market: US Retail Markets
• Referral Bonus Amount: 1500
• Minimum Salary: USD $83,000.00/Yr.
• Maximum Salary: USD $157,000.00/Yr.
• Typical Starting Salary: $100,000-$120,000
• Travel: 10%
• Recruiter: Jacqueline Stone
• Internal Application Deadline: 6/15/26
• Referral Bonus Eligible?: Yes

Description

The Loss Insights Analytics team sits within US Retail Markets Property Claims organization and is at the center of some of the most consequential decisions in our claims organization. We quantify the financial impact of changes across the full lifecycle of a claim — from first notice of loss through final resolution — including the adoption of new tools, vendors, and process innovations. We are a team of rigorous, intellectually driven analysts who believe that the right question, asked at the right time, is just as powerful as the right answer. If you are energized by complex problems, motivated by meaningful work, and want your analysis to directly shape how one of the world's largest insurers handles billions of dollars in property claims, this is your team.

**This role may have in-office requirements depending on candidate location**

Candidates who live within 50 miles of Boston, MA; Portsmouth, NH; Seattle, WA; Columbus, OH; or Plano, TX will follow a hybrid schedule, coming into the office two days per week. Otherwise, this role is remote.

About the Role:

We are hiring a Senior Analyst to join the Loss Insights team. In this role, you will design and execute high-complexity analyses that drive tangible improvements to claims handling processes and financial outcomes. You will serve as a trusted analytical voice to senior stakeholders, translating nuanced data findings into clear, compelling recommendations. This is not just a reporting role — it is a thinking role. You will be expected to challenge assumptions, identify the stories hidden in data, and advocate for evidence-based decisions.

What You Will Do:

• Drive Financial Insight: Design and conduct moderate-to-high complexity analyses evaluating the financial performance of claims operations, process changes, and newly adopted tools or vendor partnerships across the full claim lifecycle.
• Measure What Matters: Build and maintain reporting frameworks that track initiative success, financial performance, and key operational metrics — ensuring stakeholders always have a clear, accurate picture of business outcomes.
• Lead Analytical Projects: Own moderately complex, end-to-end analytical projects independently, partnering with Claims Process, Data Office, Product, and other key partners to develop rigorous solutions and see initiatives through to measurable impact.
• Turn Data into Action: Synthesize complex, multi-source data into concise, actionable recommendations and present findings confidently to stakeholders at all levels, including senior leadership.
• Shape the Future of Claims: Contribute to a team culture of intellectual curiosity and continuous improvement, proactively identifying new analytical opportunities that enhance customer outcomes and operational efficiency.

What We're Looking For:

• You are intellectually curious. You don't just answer the question asked — you interrogate it. You are energized by ambiguity, drawn to complex problems, and always looking for the insight beneath the surface.
• You are analytically rigorous. You have hands-on experience gathering, interpreting, and synthesizing data across multiple sources. You are proficient in one or more of the following: SAS, SQL, Python, or R — and you know how to use these tools not just to pull data, but to build compelling analytical narratives.
• You think critically and communicate clearly. You can translate a sophisticated analysis into a story that resonates with a non-technical audience. You are comfortable presenting to stakeholders and defending your methodology under scrutiny.
• You are a proactive, organized self-starter. You manage your own workload with discipline, follow through without being prompted, and thrive in an environment where you are trusted to work independently.
• You are a collaborative team player. You bring energy and engagement to the team, invest in the success of your colleagues, and build strong relationships across partner teams.

Qualifications

• Bachelor's Degree plus a minimum 3 years, typically 4 or more years of experience, or equivalent, is required. Mathematics, Economics, Statistics or other quantitative field are preferred fields of study.
• Advanced knowledge of data sources, tools, statistical principles and methodologies, and techniques.
• Advanced proficiency in Excel (VBA, macros, scripts, formulas, data visualization, etc.), PowerPoint, and statistical software packages (SAS, Snowflake).
• Must have good planning, analytical, decision-making and communication skills.
• Solid understanding of business to improve business outcomes.

Travel

10%