Senior Analytics Engineer

March 20

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PermitFlow

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PermitFlow is a company focused on streamlining the permitting process for developers, builders, contractors, and other professionals across various municipalities. Their platform offers services such as permit research, preparation, submission, and tracking, all designed to expedite the approval process. With a team of local experts and nationwide coverage, PermitFlow ensures that projects are permitted quickly and efficiently, reducing paperwork and enhancing transparency. The company provides specialized solutions for a range of projects including new construction, roofing, and renovations for both residential and commercial properties, making it easier for clients to navigate municipal regulations.

Building Permits • Construction Permits • Construction Technology • Permit Software • Permits

11 - 50 employees

🏢 Enterprise

⚡ Productivity

🤝 B2B

💰 $31M Series A on 2024-02

📋 Description

• We are looking for a talented and passionate Senior Analytics Engineer to join our team. • 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. • Design and implement scalable data models optimized for analytics and company-wide reporting. • Build and maintain efficient data pipelines to transform datasets for analytics. • Collaborate with product and engineering teams to integrate data from sources. • 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.

🎯 Requirements

• 4+ 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. • Experience with business intelligence tools like Looker, Tableau, or Power BI. • Familiarity with cloud platforms like Google Cloud.

🏖️ Benefits

• 📈 Equity packages • 💰 Competitive Salary • 🩺 100% Paid health, dental & vision coverage • 💻 Company issued laptop. • 🎧 Home office & equipment stipend • 🍽️ Lunch & Dinner provided via UberEats w/ a fully stocked kitchen • 🚍 Commuter benefits • 🎤 Team building events • 🌴 Unlimited PTO