Analytics Engineer

What You'll Do

• Design and implement scalable data models optimized for analytics and company-wide reporting, continuously refining them to meet evolving business needs.
• Build and maintain efficient data pipelines to transform datasets for analytics.
• Collaborate with product and engineering teams to integrate data from sources like PermitFlow’s CRM, 3rd party vendors, and other internal sources while optimizing for performance and reliability.
• 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 to support scalable reporting and insights.

What We're Looking For

• 3+ 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, and familiarity with cloud platforms like Google Cloud.