Data Analyst

• Build analyses & automation (SQL/Python): run recurring ROI analyses, write performant SQL and pandas, and productionize repeatable jobs with orchestration (e.g., Airflow).
• Define metrics & model the data: own metric definitions and create reusable SQL Data Models serving as the analytics source of truth.
• Partner with CX on customer ROI: quantify and communicate Laurel’s impact, prepare exec-ready materials, and join customer-facing presentations.
• Ship dashboards & actionable insights: deliver customer-facing ThoughtSpot dashboards and translate findings into concise actionable insights.
• Raise data quality & instrumentation: add validation tests and monitoring, triage data issues quickly, and collaborate with Product/Engineering to improve data quality.
• Data Platform Development: design, build, and maintain Laurel’s Analytics Data Warehouse, create scalable ETL pipelines, and deploy/maintain BI tools.

Senior Data Analyst

Data Analyst – Operations

Data Analyst

Data Analyst

Data Analyst

Staff Data Analyst