Staff Analytics Engineer
New York City, NY · New York City, New York, USA
- Pay
- Pay not listedSimilar roles state $122K–$190K
- Work setting
Hybrid — work setting source
Location type: Hybrid
From the employer’s posting- Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting- Team
Engineering — team source
Department: Engineering
From the employer’s posting
Before you apply
- Sponsorship
Visa sponsorship not confirmed — sponsorship source
If hired by PermitFlow, will you now or in the future require sponsorship for employment visa status (e.g. H-1B, TN, OPT, etc.)?
From the employer’s application form
What you’ll work on
Full postingWe’re looking for a Staff Analytics Engineer to help build and shape the future of data at PermitFlow.
This is a high-impact, hands-on individual contributor role combining analytics engineering, strategic analysis, and technical leadership.
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.
Own our data foundation: Design, build, and scale our data warehouse, dbt models, pipelines, and core metrics.
You’ll partner directly with leaders across Engineering, Product, Operations, and Customer Success to turn data into better decisions.
From the employer’s posting
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.
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.
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.
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.
Tools in this posting
- Python
- SQL
- dbt
Source — Tool mentions in context
- 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.
- 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.
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.
Benefits in the posting
Full benefits wording- 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)
- 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.
From the employer’s posting.
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 29, 2026 · today
- Recorded sightings
- 1
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
Complete your application on jobs.ashbyhq.com. The employer’s form will show what is required.
Already applied? Track this application
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 OverviewWe’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.
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.
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.
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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
New York City, New York, USA
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
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
See how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.