Analyst, Underwriting Analytics

The Opportunity

TopDog Law is one of the fastest-growing law firms in the U.S., blending cutting-edge technology, data-driven decision-making, and elite legal talent to deliver exceptional outcomes for our clients. We are seeking a Sr Analyst, Law Firm Analytics to join our team who combines strategic judgment, analytical depth, and technical capability to elevate how data informs decision making across the organization.

This is not a traditional back-office analytics role. The Analyst, Underwriting Analytics will support the team responsible for forecasting expected case value and modeling case outcomes, work that directly shapes operational and marketing decisions across the organization.

Required

• Strong analytical and problem-solving mindset with attention to detail
• 1-3 years of experience in business analytics, data operations, or a related quantitative field
• Solid SQL skills with the ability to write and troubleshoot moderately complex queries against large datasets
• Proficiency with Excel, including PowerPivot/DAX; exposure to Python or R is a plus
• Ability to manage multiple priorities and meet deadlines in a fast-paced environment
• Clear communication skills with the ability to present findings to both technical and non-technical audiences
• High commitment to data integrity and accuracy
• Thrives in a fast-paced, performance-driven, high-growth environment
• Intellectual curiosity and an ownership mindset
• Ability to take direction, prioritize effectively, and execute with speed

What You Will Own

• Write and optimize SQL queries to support case valuation modeling, reporting automation, and underwriting analysis
• Leverage SQL, Excel/PowerPivot, Python, AI and other analytics tools to build and maintain reliable, scalable reporting
• Apply structured problem-solving to well-defined and moderately ambiguous underwriting and case valuation questions
• Stay informed on emerging analytics and AI capabilities that can enhance underwriting analytics practices

Performance Monitoring & Insight Generation

• Analyze case outcomes, conversion rates, and portfolio performance against underwriting assumptions
• Help identify discrepancies, trends, and anomalies across case types, states, and lead segments
• Translate data findings into clear summaries and recommendations for the Underwriting Analytics Team
• Support forecasting and reconciliation work tied to case volume, vintage performance, and portfolio composition
• Contribute ideas to improve existing models, queries, and processes—not just maintain them as-is