Senior Analyst, Property Claims Analytics

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%