Make data accessible across the organization: Develop intuitive dashboards, reporting systems, and self-service analytics tools that empower teams to answer complex questions independently and make faster, better-informed decisions.
Shape our data strategy: Influence our long-term data architecture, tooling, technical roadmap, and operating model. Help define how a modern, AI-native data function should operate as PermitFlow scales.
Deep analytics engineering experience: Significant experience in analytics engineering, data engineering, data analytics, or business intelligence, with a track record of independently owning complex, high-impact initiatives.
Expert SQL and dbt skills: Exceptional SQL proficiency and deep, hands-on experience building production-grade dbt models, designing dimensional data models, and developing transformation workflows in modern cloud data warehouses.
Strong engineering fundamentals: Proficiency in Python and experience building reliable, scalable data pipelines, analytical workflows, and data infrastructure.
Exceptional analytical and business judgment: You know how to break down ambiguous problems, ask the right questions, identify meaningful patterns, and translate complex findings into clear recommendations with measurable business impact.
