Senior Data Quality Analyst

At Ledgebrook, we are building an Excess & Surplus (E&S) lines insurance company that combines deep underwriting and pricing expertise with a modern tech platform fit for the future of insurance– truly a best of both worlds approach. Our speed and service underpin every decision we make, and our rapidly growing team is a testament to our value proposition resonating with the market. You bring the passion and entrepreneurial spirit, and we’ll provide the opportunity to unleash the very best of your talents and skills. Apply now to advance your career at Ledgebrook.

Ledgebrook is seeking an experienced Senior/Data Quality Analyst to join our Product & Data team.  On this team, you’ll lead analytical efforts to analyze complex data to ensure its integrity and accuracy.  You will play a key role in driving organizational trust in reporting and analytics and ensuring adherence to regulatory requirements.  

As a Senior/Data Quality Analyst, you will collaborate with engineering, data excellence, pricing and analytics, finance, and compliance teams to improve data quality. A key part of your role will be proactively querying databases, reviewing data and dashboards, understanding data flow processes, and supporting implementation of data initiatives.

• →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.

We love working with people who are eager to learn constantly and genuinely excited about the chaotic, rewarding process of building a company from the ground up.

• 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.

• 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.

• 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.

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.

Ledgebrook may use Artificial Intelligence (“AI”) as part of the job application process, including to assist us in evaluating your application. AI is used as a support tool, and hiring decisions are made by human recruiters. By submitting your information, you acknowledge that the company may use AI tools as part of our evaluation. If you need a reasonable accommodation or alternative review process because of a disability or other legally protected basis, contact hiring@ledgebrook.com. Requesting an accommodation will not negatively affect your application.