Analyst / Senior Analyst, Data Quality
About The Position
Ledgebrook is seeking an experienced Analyst or Senior Analyst, Data Quality to join its Product & Data team. The role leads analytical work to assess complex data and ensure its integrity and accuracy, build organizational trust in reporting and analytics, and support adherence to regulatory requirements. The analyst collaborates with engineering, data excellence, pricing and analytics, finance, and compliance teams to improve data quality across the business. The position investigates data discrepancies, strengthens data controls, monitors policy, premium, and claims data, and translates business needs into specifications and shared data definitions. It also helps design data workflows and system integrations to support the company's growth from managing general agent (MGA) to full-stack carrier. Ledgebrook is considering candidates at both Analyst and Senior Analyst levels.
Requirements
- Experience analyzing Property & Casualty (P&C) insurance data, such as policy, premium, claims, or submission metrics, in support of actuarial, analytics, or finance functions.
- Advanced SQL, Excel, and Power BI skills for investigation, data modeling, and reporting.
- Excellent communication and presentation skills for collaborating with stakeholders across the organization.
- Close attention to detail and curiosity to trace complex data inconsistencies to their source.
- Comfort integrating AI tools into day-to-day workflows to drive efficiencies.
- Self-starter who takes accountability, thrives in a fast-paced environment, and handles ambiguity well.
- Collaborative approach, strong analytical skills, and a passion for using data to drive business outcomes.
Nice To Haves
- Familiarity with integrating data with finance or ERP systems, such as Workday.
- Experience at an MGA or at a carrier that partners with MGAs.
- Exposure to Snowflake, Python, Power Query, and/or AI tools that streamline day-to-day workflows.
Responsibilities
- Investigate data issues, trace discrepancies to their root causes, and resolve them for stakeholders across product, finance, actuarial, and analytics.
- Identify gaps and implement data validations, reconciliations, and controls to improve data quality over time.
- Build and maintain automated checks to monitor the integrity of policy, premium, and claims data.
- Translate business requirements into clear specifications for Data Engineering.
- Help define and document shared data definitions.
- Design data workflows and system integrations that support Ledgebrook's growth from MGA to full-stack carrier.
- Collaborate with engineering, data excellence, pricing and analytics, finance, and compliance teams to improve data quality.
Benefits
- Full remote flexibility and asynchronous work culture.
- Unlimited PTO and fully paid sick leave.
- Medical, dental, and vision coverage, plus HSA and FSA options.
- 401(k).
- Company-paid life insurance and disability coverage.
- Eligibility to participate in the company's equity incentive program.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
