Analytics Engineer building and maintaining data infrastructure for PermitFlow's AI platform. Collaborating with teams to optimize analytics processes and ensure data integrity while supporting decision-making.
Responsibilities
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.
Requirements
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.
Benefits
Competitive salary and meaningful equity in a high-growth company
Comprehensive medical, dental, and vision coverage
Flexible PTO and paid family leave
Home office & equipment stipend
Hybrid NYC office culture (3 days in-office/week) with direct access to leadership
Senior Analytics Engineer transforming raw data into actionable insights for business teams. Collaborating across departments to deliver analytics solutions and ensure data quality.
Intern in Revenue Operations at CloudTalk analyzing sales and customer data for insights. Collaborating with teams for reporting and dashboard creation to support decision - making.
Analytics Developer at Intact Lab employing machine learning and data science. Collaborating with IT teams on projects to enhance customer experience in the insurance sector through analytics.
Lead ETL Architect developing, testing, and deploying solutions at S&P Global. Collaborating with teams and optimizing data processes in an environment focused on essential intelligence.
Analytics Engineer at UK's premier publisher assisting data - driven insights for customer understanding. Bridging gap between data engineering and analytics with clean, reliable data access.
Analytics Engineer designing and developing software solutions for complex data at OCLC. Collaborating with teams to enhance data access and analytics capabilities.
Analytics Engineer enabling data - driven decisions across clinical and operational functions at QualDerm Partners. Responsible for data collection, analysis, visualization, and stakeholder collaboration.
Lead Digital Analytics Engineer driving modernization of site analytics and data layer for multi - brand ecommerce. Architecting a unified measurement foundation and collaborating with various stakeholders across the organization.
SAP Analytics Developer managing and delivering SAP BW/BI solutions for Niterra. Collaborating with stakeholders to optimize business intelligence and data warehousing capabilities.
Analytics Engineer responsible for data consolidation and maintenance, supporting reporting and dashboards at Brilliant Corners for vulnerable populations.