Senior Analyst, Advanced Analytics

Role Overview

• Lead underwriting efficiency initiatives that introduce automation to reduce cycle time and increase throughput, partnering with process and automation teams on time-motion studies and measurable operational improvements.
• Contribute to defining a “north-star” operating model for underwriting and shaping future-state workflows, metrics, and governance.
• Deliver claims–underwriting connectivity insights to deepen understanding of profitable business, inform appetite and selection, and drive improvements in portfolio quality and loss ratio.
• Build and launch tools that surface cross-sell opportunities for underwriters and enable smart re-use of broker-supplied data, including practical data products that embed insights into daily workflows.
• Synthesize complex analysis into compelling narratives and executive-ready presentations; lead recurring readouts that convert insights into clear recommendations, decisions, and accountable actions.
• Drive adoption and change management for new tools and processes — partnering with underwriting, claims, and distribution leaders to embed solutions, track outcomes, and iterate for impact.
• Collaborate across the North America Data Office to navigate the data ecosystem, and ensure the solutions you build are robust, observable, and designed for reuse.
• Independently manage projects end-to-end: scoping problems, prioritizing work, aligning stakeholders, tracking milestones, and delivering on time with clear value realization measures.
• Develop analytic tools that help others do their jobs more effectively and guide decision-making — going beyond dashboards to implement tangible changes that drive efficiency and growth.
• Confidently lead discussions with senior leadership at the department or functional level, using storytelling and well-structured analysis to earn buy-in and move the business.

Requirements

• Bachelor’s degree in Mathematics, Economics, Statistics or other quantitative fields preferred.
• Four to five years of experience or equivalent capability required.
• Advanced knowledge of data sources, tools, statistical principles and methodologies, and techniques.
• Advanced proficiency in Excel, PowerPoint, SQL, Power BI, and statistical software packages (SAS, Emblem). Python experience is a plus.
• Must exhibit robust planning, analytical, decision-making and communication skills.
• Possess a depth of understanding of business nuances to improve business outcomes.

Tech Stack

• Python
• SQL

Benefits

• A premier flexible work environment (a combination of on-site & remote work) supporting our employees in their pursuit of a healthy work-life balance
• Competitive health & dental benefits plan
• Market-leading pension plan
• Competitive time off policy
• External education & tuition reimbursement programs
• Employee & Family Assistance Programs
• An opportunity to get involved and become a member of one of our national employee committees – social responsibility, employee engagement, diversity, equity & inclusion