Senior Data Analyst

About The Role

The Senior Data Analyst will turn raw data into actionable insights for product, underwriting, operations, and executive leadership. The ideal candidate has deep insurance data experience, especially with bordereaux (BDX) submissions, plus strong data manipulation, SQL, and BI/reporting skills. The role requires curiosity to investigate anomalies across large datasets and the ability to communicate findings to technical and non-technical stakeholders.

What You'll Do

• Use SQL and other analytical techniques to investigate business questions and anomalies across policy, premium, coverage, claims, and BDX data.
• Analyze, reconcile, and validate BDX/bordereaux submissions and partner/carrier feeds, identifying gaps, mapping issues, and reporting impacts.
• Work with business stakeholders to identify and align data initiatives with business goals to determine data analysis and reporting needs.
• Partner with stakeholders to build recurring reports and dashboards using BI tools and fit-for-purpose datasets; use SQL to source and validate logic.
• Lead root cause analysis to explain data variances or emerging business trends; communicate findings with clarity and urgency.
• Collaborate with data engineers to understand pipeline logic, recommend field-level enhancements, and support fixes across BDX ingestion, mapping, and transformation.
• Define data models and structures that align with business requirements, ensuring data is organized and accessible for analysis.
• Establish data quality rules, validation checks, and cleaning procedures for insurance datasets, including BDX submissions.
• Monitor and escalate data quality issues with recommendations for resolution.
• Own and document key business metrics, calculations, and definitions for downstream consumers.
• Mentor and support junior analysts with analytical logic, quality checks, and data storytelling.
• Maintain and update metadata that describes the data assets, ensuring proper understanding and usage of the data.
• Create process flows and documentation for data collection, transformation, and analysis workflows.

Qualifications

• 7+ years of experience in data analysis, business intelligence, or analytical roles.
• 4+ years of experience working with commercial or specialty insurance data, including BDX/bordereaux, policy, premium, and claims datasets.
• Hands-on BDX/bordereaux validation, reconciliation, or mapping experience.
• Strong SQL and Excel skills; experience with large datasets, normalized schemas, and data validation.
• Comfortable working with BI tools and building end-user reporting solutions.
• Strong critical thinking, communication, and documentation skills.
• Experience working cross-functionally with engineering, product, and business teams.

Preferred Qualifications

• Familiarity with the insurance policy lifecycle, premium development, claims data, and downstream BDX reporting/analytics.
• Exposure to actuarial concepts such as triangle analysis, loss development, or policy cohorting (without needing formal actuarial experience).
• Experience analyzing across multiple systems or data grains (e.g., BDX, carrier, MGA, broker, or claims feeds).
• Ability to travel up to 5% of the year.