Staff Analytics Engineer

permitflow; United States; Hybrid; USD 160,000 - 260,000; Full time

Benefits offered by this job

Equity

Full medical coverage

401(k)

Unlimited PTO

Home office stipend

Lunch provided

Commuter benefits

Job summary

PermitFlow is hiring a Staff Analytics Engineer to own and scale our analytics infrastructure, turning data into strategic decisions across Engineering, Product, Operations, and Customer Success.

You will leverage SQL, dbt, Python, and LLMs to deliver AI-powered insights, shape data standards, and partner with leadership on KPI definitions and data strategy.

Qualifications

• Extensive experience in analytics engineering, data analytics, or BI, with ownership of complex initiatives.
• Expert SQL skills and hands-on experience with dbt and data modeling in modern cloud warehouses.
• Strong Python skills and experience building scalable data pipelines and analytics infrastructure.
• Practical experience using LLMs or AI-powered tools to improve analytics workflows and data accessibility.

Responsibilities

• Own our data foundation: design, build, and scale the data warehouse, dbt models, pipelines, and core metrics.
• Translate complex business questions into actionable insights, predictive models, and strategic recommendations.
• Build AI-powered analytics to automate routine analysis and enable self-service insights.
• Set technical direction for data modeling, quality, testing, and governance as infrastructure scales.
• Partner with leadership to define KPIs, identify opportunities, and influence decisions.
• Shape our data function and long-term data strategy and standards.

Skills

SQL

dbt

Python

LLMs

Data modeling

Analytics leadership

Communication

Tools

Cloud data warehouses

Job description

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, from top-tier investors including Accel, Kleiner Perkins , 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're looking for a Staff Analytics Engineer to help build and shape the future of data at PermitFlow. You'll own our analytics infrastructure, tackle complex business problems, and help define how we leverage AI to make data more accessible and actionable across the company.

This is a high-impact, hands-on individual contributor role combining analytics engineering, strategic analysis, and technical leadership. You'll partner directly with leaders across Engineering, Product, Operations, and Customer Success to turn data into better decisions.

We're building an AI-native data function, and we're looking for someone excited to challenge traditional approaches, take ownership, and shape how data powers a rapidly scaling business.

What You’ll Do

• Own our data foundation: Design, build, and scale our data warehouse, dbt models, pipelines, and core metrics.
• Drive business impact: Translate complex business questions into actionable insights, predictive models, and strategic recommendations.
• Build AI-powered analytics: Leverage LLMs to automate routine analysis, enable self-service insights, and improve how teams interact with data.
• Set technical direction: Establish best practices for data modeling, quality, testing, and governance as our infrastructure scales.
• Partner with leadership: Work cross-functionally to define KPIs, identify opportunities, and influence critical business decisions.
• Shape our data function: Help define our long-term data strategy, tooling, and technical standards as PermitFlow grows.

What We’re Looking For

• Extensive experience in analytics engineering, data analytics, or BI, with a track record of owning complex, high-impact initiatives.
• Expert SQL skills and deep, hands-on experience with dbt, data modeling, and modern cloud data warehouses.
• Strong Python skills and experience building scalable data pipelines and analytics infrastructure.
• Practical experience using LLMs or AI-powered tools to improve analytics workflows and data accessibility.
• A full-stack data mindset, combining strong engineering fundamentals with analytical depth and business intuition.
• Proven ability to lead ambiguous, cross-functional projects independently and influence technical and business decisions.
• A builder's mindset, strong communication skills, and excitement for shaping an evolving, AI-native data function.

What We Offer

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

PermitFlow provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, gender expression, or family status, as protected by applicable law.

We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities. All employment decisions are based on merit, qualifications, and business needs.