Staff Analytics Engineer

present of AI; New York (NY); On-site; USD 150,000 - 210,000; Full time

Job summary

PermitFlow seeks a data platform leader who owns the data foundation—warehouse, dbt models, pipelines, and core metrics—and sets quality and governance standards as we scale. The role turns messy business questions into clear analyses and recommendations while guiding cross-functional projects with minimal hand-holding.

The ideal candidate brings deep SQL, dbt, cloud warehouse work, and Python for pipelines.

Qualifications

• Deep hands-on SQL, dbt, and cloud data warehouse work.
• Solid Python for data pipelines.
• Ability to turn messy business questions into clear analysis and recommendations.
• Experience leading cross-functional analytics projects.

Responsibilities

• Own the data foundation: warehouse, dbt models, pipelines, and core metrics.
• Set quality, testing, and governance standards as scale grows.
• Translate business questions into rigorous analyses and recommendations.
• Lead cross-functional analytics projects with limited hand holding.

Skills

SQL

dbt

Cloud data warehouse

Python

LLMs in analytics

Data modeling

Governance standards

Cross-functional leadership

Tools

dbt

Job description

This role owns the company's data foundation: the warehouse, dbt models, pipelines and core metrics, plus the standards for quality, testing and governance as things scale. It also asks for someone who can turn messy business questions into clear analysis and recommendations, and who can lead cross functional projects without much hand holding. A strong candidate brings deep hands on SQL, dbt and cloud warehouse work, solid Python for pipelines, and the judgment to set technical direction while staying close to the business.

How it fits the AI era

Much of the routine analysis and reporting can be automated, and this role is expected to push that shift by using language models to speed up common questions and make data easier for other teams to reach on their own. What stays human is the harder part: deciding which metrics matter, judging whether an answer is trustworthy, and setting the modeling and quality standards everything else rests on. The role sits where the data foundation meets the company's AI products, so clean, well defined data matters more, not less.

How it builds AI experience

The work offers direct practice applying language models to analytics workflows, such as automating repeated analysis and building self service paths to data. Building that experience means getting comfortable wiring models into pipelines and metric layers, testing where they help and where they fail, and learning to keep outputs reliable. Because the company runs AI agents for permitting, there is a chance to see how analytics supports an AI driven product, not just internal reporting.

Worth showing

• dbt and data modeling
• Cloud data warehouse ownership
• LLMs in analytics workflows
• Metric and governance standards

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About PermitFlow

AI agents that handle construction permitting end to end for builders, from pulling project data to filing forms with local authorities and tracking approvals.