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TopDog Law

Analyst, Underwriting Analytics

TopDog Law

Analyst, Underwriting Analytics at TopDog Law, blending data and legal services for impactful outcomes. Focused on forecasting case values and improving underwriting analytics practices.

Posted 7/28/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates strong analytical capabilities with expertise in SQL, Excel, and Python to support case valuation modeling and reporting automation. Proficient in translating complex data findings into actionable insights for underwriting and operational leaders.

Highest-signal resume keywords
SQL Query WritingExcel PowerPivot/DAXData AnalysisProblem-SolvingClear Communication

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
SQLExcelPowerPivotPythonData AnalysisReporting AutomationCase Valuation ModelingForecastingTroubleshooting QueriesData Integrity
Soft Skills
Analytical MindsetAttention to DetailAbility to PrioritizeExecution SpeedAdaptability
Tools & Technologies
PowerPivotAI Analytics ToolsDashboardsReporting Tools
Industry Keywords
Underwriting AnalyticsCase ValuationData OperationsQuantitative AnalysisPerformance Metrics

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • 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
  • Build and maintain dashboards and reports that provide clarity to underwriting and operational leaders
  • Serve as an analytical resource supporting case valuation forecasting (CVFO) and related modeling across case types and segments
  • 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

Requirements

What you’ll need
  • 1-3 years of experience in business analytics, data operations, or a related quantitative field
  • Strong analytical and problem-solving mindset with attention to detail
  • 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
  • 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
  • Ability to take direction, prioritize effectively, and execute with speed

Benefits

Comp & perks
  • Medical, dental, and vision insurance
  • 401(k) with company match
  • HSA
  • Life insurance
  • Disability coverage
  • Paid time off
  • Parental leave