Senior Analytics Engineer

PermitFlow

. Design and implement scalable data models optimized for analytics and company-wide reporting .

Posted 10/23/2026full-timeNew York City • New York • United StatesSenior💰 $165,000 - $215,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing scalable data models and pipelines, ensuring data governance and quality for analytics. Proficient in utilizing business intelligence tools and cloud platforms to deliver actionable insights and support decision-making.

Highest-signal resume keywords

PostgreSQL ProficiencyData Governance ExpertiseETL Pipeline ExperiencePython Programming SkillsBusiness Intelligence Tools Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingData WarehousingSQLDbtData TransformationAnalytics EngineeringData Quality PracticesSelf-Serve Analytics SolutionsData Lineage TrackingAnalytics Solutions Delivery

Soft Skills

Strong Communication SkillsCollaboration Skills

Tools & Technologies

LookerTableauPower BIGoogle CloudETL Tools

Industry Keywords

Data AnalyticsData EngineeringData GovernanceAnalytics WorkflowsStakeholder Engagement

Tech Stack

Tools & technologies

CloudETLPostgresPythonSQLTableau

About the role

Key responsibilities & impact

Design and implement scalable data models optimized for analytics and company-wide reporting
Continuously refine data models to meet evolving business needs
Build and maintain efficient data pipelines to transform datasets for analytics
Implement data governance for consistency, quality, and security
Define key metrics, track data lineage, and enforce data quality checks
Work 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
Collaborate with engineers, product teams, and stakeholders to support company-wide decision-making

Requirements

What you’ll need

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
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
Experience using LLMs to power analytics workflows
Role requires 3 days/week (M/W/F) in the NYC office
Legally authorized to work in the United States

Benefits

Comp & perks

Meaningful equity in a high-growth company
100% company-paid base medical, dental, and vision coverage for employees
Healthcare FSA
401(k) savings plan
Unlimited PTO
Paid family leave
Home office & equipment stipend
Daily in-office lunch and dinner provided
Commuter benefits (pre-tax transit and parking)