Analytics Engineer at PermitFlow working on data infrastructure for scalable business intelligence. Collaborating with product teams and senior analytics staff in a hybrid role.
Responsibilities
Partner with senior staff to 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.
Support data quality and governance efforts by helping to define key metrics, track data lineage, and enforce data quality checks.
Deliver analytics solutions, build dashboards, and support teams in using data effectively.
Contribute to maintaining and improving PermitFlow’s data stack to enable scalable reporting and insights.
Requirements
0–2 years of experience in data analytics, data science, or a related field (internships welcome)
Strong SQL skills & basic Python familiarity
Experience with BI tools (Omni, Looker, Tableau, etc.) a plus
Experience working with product analytics tools like PostHog or Google Cloud Analytics a plus
Deep curiosity and problem-solving mindset, ready to thrive in a hyper-growth Series B setting
Clear communicator who enjoys working with cross-functional teams
Excited to work in a fast-paced startup environment and learn quickly.
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
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