Staff Analytics Engineer
Join PermitFlow as a Staff Analytics Engineer to shape data infrastructure and drive AI-powered analytics in a high-growth environment.
Posted by employer 1 day ago
First seen on Joblaze 21 hours ago
Last verified on the company career page 21 hours ago
What you'll build
- Design, build, and scale data warehouse
- Translate complex business questions into actionable insights
- Leverage LLMs to automate routine analysis
- Establish best practices for data modeling
- Define long-term data strategy and tooling
Must have
- Extensive experience in analytics engineering
- Expert SQL skills
- Strong Python skills
- Experience building scalable data pipelines
Nice to have
- Practical experience using LLMs
- Strong communication skills
- Experience with AI-powered tools
Practical constraints
- 3 in-office days per week
AI in the day-to-day
Leverage LLMs to automate routine analysis and improve how teams interact with data.
Not disclosed in this posting: compensation, years of experience, visa sponsorship.
Benefits
Joblaze summary
In the role of Staff Analytics Engineer at PermitFlow, the individual will manage the analytics infrastructure, addressing complex business challenges and enhancing data accessibility through AI. Key skills include expertise in SQL, dbt, and Python, alongside experience in building scalable data pipelines and leveraging AI tools. This position is ideal for someone with a strong background in analytics engineering who can lead cross-functional projects and influence strategic decisions. PermitFlow is focused on developing an AI-native data function to support its rapid growth in the construction sector.
Joblaze insights
Quick facts
- Is the Staff Analytics Engineer role remote?
- It's hybrid — PermitFlow expects some on-site time in New York City, NY, United States.
- Where is the role based?
- PermitFlow is hiring for this position in New York City, NY, United States.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI/ML, Python, SQL, dbt.
- What seniority level is this role?
- PermitFlow targets staff-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Staff Analytics Engineer role at PermitFlow.
From the original posting
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
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)
Standard company text repeated across PermitFlow's postings is omitted here.