Staff Analytics Engineer

We're looking for a Staff Analytics Engineer to build and shape the data foundation and intelligence layer powering PermitFlow's next stage of growth. This is a high-impact, hands-on individual contributor role at the intersection of analytics engineering, data analysis, and strategic decision-making. You'll work directly with leaders and teams across Engineering, Product, Operations, and Customer Success, and will spend substantial time building in SQL and dbt, while also getting hands-on with Python. The role also involves building an AI-native data function, using LLMs and emerging technologies to rethink traditional analytics workflows.

Responsibilities

Build and own the data foundation: architect, develop, and scale the data warehouse, dbt models, transformation pipelines, and core metrics; Drive analytics from question to impact: partner with cross-functional leaders to identify opportunities, investigate ambiguous business problems, conduct deep-dive analyses, and turn data into actionable recommendations; Build AI-powered analytics capabilities using LLM-powered workflows, AI agents, and automation; Establish technical standards and data quality across data modeling, architecture, testing, documentation, observability, and governance; Influence strategic business decisions by defining KPIs, evaluating business performance, and identifying operational bottlenecks; Make data accessible across the organization through dashboards, reporting systems, and self-service analytics tools; Shape data strategy, including long-term data architecture, tooling, technical roadmap, and operating model

Requirements

Significant experience in analytics engineering, data engineering, data analytics, or business intelligence, with a track record of independently owning complex, high-impact initiatives; 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; Proficiency in Python and experience building reliable, scalable data pipelines, analytical workflows, and data infrastructure; Practical experience leveraging LLMs, AI agents, or AI-powered tools to improve analytics workflows, automate processes, or make data more accessible; Strong engineering fundamentals combined with genuine analytical depth; Exceptional analytical and business judgment; Technical leadership and ownership, including leading cross-functional initiatives from problem definition through execution; Strong communication and influence with engineers, executives, and business operators; A builder's mentality

Benefits

Competitive salary and meaningful equity; 100% company-paid base medical, dental, and vision coverage for employees plus healthcare FSA; 401(k) savings plan; Unlimited PTO and paid family leave; Home office and equipment stipend; Daily in-office lunch and dinner provided; Commuter benefits (pre-tax transit and parking)