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.

• 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.