Staff Analytics Engineer
About The Position
PermitFlow is an applied AI company serving construction companies with tools for navigating permitting, licensing, inspections, and project closeouts. The company is building AI infrastructure for construction and has raised over $90 million, including a Series B. Its headquarters are in New York City, and it operates on a hybrid schedule with three in-office days per week. PermitFlow prefers candidates based in NYC or open to relocation. The Staff Analytics Engineer is a high-impact, hands-on individual contributor responsible for shaping how PermitFlow uses data to improve decision-making, operations, and growth. This full-stack data role combines analytics engineering and hands-on analysis, with ownership of work from reliable dbt models through insights that influence business strategy. The role partners with Engineering, Product, Operations, and Customer Success to solve complex business questions and build scalable data solutions. The position focuses substantially on dbt and data modeling, alongside direct analysis with cross-functional partners. The successful candidate will help build an AI-native data function, exploring how AI and emerging technologies can improve data work as the company scales.
Requirements
- Extensive experience in analytics engineering, data analytics, or business intelligence, 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.
- Strong engineering fundamentals combined with analytical depth and comfort working across both areas.
- Strong analytical thinking and business intuition; ability to work through ambiguity, ask thoughtful questions, and turn complex data into clear, actionable recommendations.
- Ability to independently lead ambiguous, cross-functional projects and influence technical and business decisions.
- Excellent communication and collaboration skills, including the ability to explain insights clearly and influence technical and non-technical stakeholders.
- Proactive, resourceful ownership mentality and motivation to solve meaningful problems.
Responsibilities
- Design, build, and scale the data warehouse, dbt models, pipelines, and core metrics.
- Partner with cross-functional teams to identify high-impact opportunities, investigate complex business questions, and turn raw data into insights, predictive models, and recommendations.
- Use LLMs to automate routine analysis, enable self-service insights, and improve how teams interact with data.
- Establish best practices for data modeling, testing, documentation, and governance.
- Work with leaders in Customer Success, Operations, and other teams to define KPIs, evaluate business performance, and identify improvements to efficiency, growth, and customer outcomes.
- Build dashboards, reporting, and self-service tools that help teams explore data and make informed decisions.
- Help define PermitFlow’s long-term data strategy, tooling, and technical standards.
- Provide technical leadership and help foster data-driven decision-making across the company.
Benefits
- 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.
- Paid family leave.
- Home office and equipment stipend.
- Daily in-office lunch and dinner.
- Commuter benefits for pre-tax transit and parking.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
