Senior Data Quality Analyst
About The Position
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.
Requirements
- 3+ years of experience analyzing insurance data, specifically supporting actuarial (reserving/modeling) or insurance finance functions.
- Advanced proficiency in SQL, Excel, and Power BI for deep-dive analytical investigation, data modeling, and reporting.
- Former actuarial experience or active progress on actuarial exams.
- Obsessive attention to detail with a relentless curiosity to investigate, trace, and resolve complex data inconsistencies.
- Self-starter mindset with strong accountability, built to thrive in a fast-paced environment and handle ambiguity with speed and precision.
Nice To Haves
- Experience connecting insurance data into ERP or financial systems (specifically Workday).
- Exposure to Snowflake, Python, Power Query, or leveraging AI tools to streamline day-to-day workflows.
- Direct experience working within a true Managing General Agent (MGA) structure.
- Familiarity with financial planning and analysis workflows alongside core actuarial duties.
Responsibilities
- Conduct deep-dive data investigations to identify, trace, and resolve root-cause inconsistencies across actuarial, finance, and operational datasets.
- Partner directly with actuarial and finance teams to validate data accuracy for reserving, modeling, and financial reporting needs.
- Design, develop, and maintain automated Power BI dashboards and SQL queries to continuously track data integrity and key performance metrics.
- Integrate modern AI tools and automated pipelines into daily workflows to increase analytical efficiency and streamline reporting.
- Work closely with Data Engineering, Product, and Finance teams to align data definitions, improve data models, and support system integrations (e.g., Workday/ERP).
- Take full ownership of data quality initiatives, navigating startup ambiguity to keep Ledgebrook operating with unmatched precision.
Benefits
- Full remote flexibility and asynchronous work culture.
- Unlimited PTO and fully paid sick leave.
- Comprehensive health benefits, including medical, dental, and vision coverage, plus HSA and FSA options.
- Additional financial protection and retirement benefits, including a 401(k), company-paid life insurance, and disability coverage.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
