Analytics Engineer

PermitFlow•New York City, NY

2d•Hybrid

About The Position

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. America is entering a CAPEX super-cycle, from data centers and factories to housing and renewables, and joining PermitFlow is building the AI at the heart of every construction project powering the next wave of re-industrialization. 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 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.

Requirements

3+ years of experience in analytics engineering, data engineering, or data analytics roles.
Strong proficiency in PostgreSQL, SQL, dbt, or similar data warehousing technologies.
Experience with ETL pipelines and tools, or other modern data stack tools.
Advanced programming skills in Python or other languages for data transformation and analysis.
Proven experience designing data models and building scalable data warehouses for analytics purposes.
A deep understanding of data governance, data quality practices, and developing self-serve analytics solutions.
Strong communication and collaboration skills, with the ability to explain technical concepts to non-technical stakeholders.

Nice To Haves

Experience with business intelligence tools like Looker, Tableau, or Power BI, and familiarity with cloud platforms like Google Cloud.

Responsibilities

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.
Collaborate with product and engineering teams to integrate data from sources like PermitFlow’s CRM, 3rd party vendors, and other internal sources while optimizing for performance and reliability.
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.
Manage and optimize PermitFlow’s data stack to support scalable reporting and insights.

Benefits

Competitive salary and meaningful equity in a high-growth company
Comprehensive medical, dental, and vision coverage
Flexible PTO and paid family leave
Home office & equipment stipend
Hybrid NYC office culture (3 days in-office/week) with direct access to leadership
In-Office Lunch & Dinner Provided

Stand Out From the Crowd

Upload your resume and get instant feedback on how well it matches this job.

Upload and Match Resume