Senior Data Quality Analyst

Ledgebrook is building an Excess & Surplus (E&S) lines insurance company with a modern tech platform for the future of insurance. They are seeking a Senior/Data Quality Analyst to lead data investigations, improve data integrity, and support reporting, analytics, and regulatory compliance across actuarial, finance, and operational datasets.

Responsibilities:

• Safeguard Data Quality – Conduct deep-dive data investigations to identify, trace, and resolve root-cause inconsistencies across actuarial, finance, and operational datasets
• Support Actuarial & Financial Reporting – Partner directly with actuarial and finance teams to validate data accuracy for reserving, modeling, and financial reporting needs
• Build Dashboards & Monitoring Tools – Design, develop, and maintain automated Power BI dashboards and SQL queries to continuously track data integrity and key performance metrics
• Optimize Workflows with AI & Automation – Integrate modern AI tools and automated pipelines into daily workflows to increase analytical efficiency and streamline reporting
• Collaborate Cross-Functionally – Work closely with Data Engineering, Product, and Finance teams to align data definitions, improve data models, and support system integrations (e.g., Workday/ERP)
• Drive Data Precision in a High-Growth Setting – Take full ownership of data quality initiatives, navigating startup ambiguity to keep Ledgebrook operating with unmatched precision

Requirements:

• You'll be a great fit if you bring:

• A Strong Moral Compass: You believe in doing the right thing, period. We have a strict zero-tolerance policy for toxic behaviors.
• Customer-First Empathy: You are passionate about delivering an exceptional experience to everyone you work with, both inside and outside the company.
• Intellectual Curiosity: You naturally question the status quo and love finding innovative ways to solve problems.
• A Growth Mindset: You possess a hunger for continuous learning and want to constantly expand your skillset.
• Urgency & Prioritization: You can pivot quickly and balance the need to get things right with the speed of getting them done right now.
• A Solution-Oriented Outlook: When things go wrong, you don't look for blame—you immediately focus on how to fix it.
• Transparent Communication: You value honesty, clarity, and open feedback.
• Team-First Energy: You want to win together as a high-performing team and actively build connections across our remote locations

• Must Haves:

• Insurance & Actuarial Data Expertise: 3+ years of experience analyzing insurance data, specifically supporting actuarial (reserving/modeling) or insurance finance functions.
• Strong Technical Toolkit: Advanced proficiency in SQL, Excel, and Power BI for deep-dive analytical investigation, data modeling, and reporting.
• Actuarial Background or Progress: Former actuarial experience or active progress on actuarial exams.
• Root-Cause Data Investigation: Obsessive attention to detail with a relentless curiosity to investigate, trace, and resolve complex data inconsistencies.
• Startup Ownership & Drive: Self-starter mindset with strong accountability, built to thrive in a fast-paced environment and handle ambiguity with speed and precision

• Please note: This position is open only to candidates who are authorized to work in the U.S or Canada without the need for current or future employer-sponsored work authorization. We are unable to offer sponsorship at this time
• Nice to Haves:

• Financial Systems Integration: Experience connecting insurance data into ERP or financial systems (specifically Workday).
• Extended Tech Stack: Exposure to Snowflake, Python, Power Query, or leveraging AI tools to streamline day-to-day workflows.
• MGA Experience: Direct experience working within a true Managing General Agent (MGA) structure.
• FP&A Capabilities: Familiarity with financial planning and analysis workflows alongside core actuarial duties