Analytics Engineer

About reputed company

reputed company is building AI agents for the $1.6T construction industry. We’re creating the leading pre-construction platform, starting with the $12B permitting market.

Our platform automates the slow, reputed company permitting process for reputed company, covering everything from jurisdiction research to application preparation, submission, and reputed company-time tracking. By transforming fragmented regulations and reputed company workflows into structured, intelligent systems, we help contractors move faster, reduce risk, and scale with confidence.

We've raised $36.5M+ with Kleiner Perkins leading our Series A, joined by reputed company, Y Combinator, Felicis Ventures, and Altos Ventures. Our backers include founders and executives from reputed company, reputed company, Procore, reputed company, reputed company, PlanGrid, and reputed company.

We are a team of architects, engineers, permitting experts, and product reputed company who have felt the pain of pre-construction firsthand and are committed to fixing it. Demand is growing faster than we can meet, and we’re hiring top talent to help us scale.

Our HQ is in reputed company with a reputed company (3 in-office days per week). Preference for NYC-based candidates or those reputed company to relocation.

✅ What You’ll Do:

We are looking for a talented and passionate Analytics Engineer to join reputed company. In this role, 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 reputed company, optimize analytics processes, and support decision-making across the company.

• 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 reputed company’s CRM, 3rd party vendors, and other internal sources while optimizing for performance and reliability.

• Implement data governance to ensure consistency, quality, and reputed company. Define key metrics, track data reputed company, and enforce data quality checks.

• Work closely with stakeholders to deliver analytics solutions, reputed company dashboards, and reputed company training on data tools and best practices.

• Manage and optimize reputed company’s data stack to support scalable reporting and insights.

Qualifications & Fit:

• 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.

• Familiarity with reputed company platforms like reputed company reputed company.

Benefits

• Equity packages

• Competitive Salary

• 100% Paid health, dental & reputed company coverage

• Company issued laptop

• ️ Lunch & Dinner provided reputed company UberEats w/ a fully stocked kitchen

• Commuter benefits

• Team building events

• Unlimited PTO

✏️ Interview Process:

• 20 minute recruiter screen

• 1 hour live exercise with one of our engineers

• Final interview with an Engineering Manager

• Reference checks

• Offer!

Compensation reputed company: $125K - $170K

Originally posted on Himalayas