Senior Analytics Engineer

About this role

PermitFlow is redefining how America builds. We’re an applied AI company serving the nation’s builders, tackling one of the largest information challenges in the economy: understanding what can be built, where, and how. Our AI agent workforce helps the fastest-growing construction companies navigate everything from permitting and licensing to inspections and project closeouts – accelerating housing, clean-energy, and infrastructure development across the country.

Despite being a $1.6T industry, construction still suffers from massive delays, wasted capital, and lost opportunity. PermitFlow has already delivered unprecedented speed, accuracy, and visibility to over $20B in development, helping contractors reduce compliance time, de-risk projects, and scale with confidence. As the U.S. enters a new capex supercycle across data centers, factories, housing, and renewables, joining PermitFlow means building the AI infrastructure at the core of every construction project driving the next wave of reindustrialization.

We’ve raised over $90M, most recently completing our Series B, https://www.permitflow.com/blog/permitflow-series-b from top-tier investors including Accel, Kleiner Perkins https://www.linkedin.com/feed/update/urn:li:activity:7401703305569275904/, Initialized, Y Combinator, Felicis, and Altos Ventures, with backing from leaders at OpenAI, Google, Procore, ServiceTitan, Zillow, PlanGrid, and Uber. Our HQ is in New York City with a hybrid schedule (3 in-office days per week).

We prefer NYC-based candidates or those open to relocation. ROLE OVERVIEW We are looking for a talented and passionate Analytics Engineer to join our team. In this role, you will be responsible for designing, building, and maintaining data infrastructure to support scalable and actionable business intelligence. You’ll work closely with engineers, product teams, and stakeholders to ensure data integrity, optimize analytics processes, and support decision-making across the company.

WHAT YOU'LL DO - Design and implement scalable data models optimized for analytics and company-wide reporting, continuously refining them to meet evolving business needs. - Build and maintain efficient data pipelines to transform datasets for analytics. - Implement data governance to ensure consistency, quality, and security. Define key metrics, track data lineage, and enforce data quality checks. - Work closely with stakeholders to deliver analytics solutions, develop dashboards, and provide training on data tools and best practices.