Senior Analytics Engineer

Description

At Roofr, we’re obsessed with our customers. We constantly gather feedback to shape, prioritize, and launch the products they truly need. That’s what makes Roofr’s CRM special. We started by building essential sales tools like aerial roof measurements and digital sales proposals. But when our customers asked for a simple, affordable way to manage and scale their entire businesses, we listened. So, we created a CRM that connects these solutions—along with payments, material ordering, and more—into a seamless, powerful platform. With a clear roadmap ahead, we’re excited to continue expanding and leading the market with innovative products.

We have an amazing culture, strong financials, and best-in-class company metrics. It’s an exciting time to be part of an extraordinary startup that is already successful, yet still early enough to offer its team significant growth, equity, and the opportunity to make a real impact.

This position is for an existing vacancy.

Role Overview

At Roofr, building a powerful user experience starts with data. As a Senior Analytics Engineer at an early-stage, high-growth company, you’ll play a critical role in turning raw data into insights that shape strategy, drive growth, and improve the customer experience. You’ll have a direct impact on how we democratize data and insights across the company.

This isn't a 'maintain the dashboards' role. You'll be working with an experienced data & analytics team to redesign how Roofr uses data from the ground up, building scalable data models, defining the semantic layer for enterprise consumption, and pushing the limits of AI-driven analysis.

What You'll Get to Do

• Architect and build the semantic layer powering AI-driven analytics across Abacum.ai, Snowflake Cortex, Sigma, Claude, and the modern analytics tools
• Design, build, and refactor DBT models to maintain a trustworthy, evolving single source of truth for enterprise KPIs
• Be the go-to analytics partner for Finance, Strategy, and Operations
• Bring data to life with compelling presentations and reports that drive key decisions and actions
• Raise the bar on how we do analytics engineering — testing, documentation, CI/CD, and performance optimization that the whole team can build on
• Evolve our data governance framework — cataloguing, lineage tracking, metric definitions, access controls, and data quality standards

What You'll Bring to the Role

• 7+ years of experience in BI, data engineering, or analytics engineering in high-growth startups or innovation labs within large organizations, where you had to build fast and build right.
• Proficient in modern BI tools like Metabase, Sigma, Omni, Tableau, or Looker
• Hands-on DBT experience, you've built, refactored, and scaled DBT projects in production
• Strong SQL skills and experience with cloud data warehouses (e.g. Snowflake)
• A solid grasp of semantic layers and firsthand experience building one for self-serve analytics
• Comfort working across the org with senior leaders and business SMEs to nail metric definitions, ship dashboards, and keep data quality high

Who You Are

• Think ideal, act agile, you deliver iteratively while keeping the north star in mind
• You lose sleep over bad data models and can't look at a messy DBT project without mentally refactoring it
• You get a weird amount of satisfaction from getting a room aligned on a metric definition, and you don't get frustrated when the goal post moves as the business evolves
• Details bother you in a good way, you're the one who catches the off-by-one error before the CFO sees it
• You're three steps ahead, organized, prioritized, and rarely caught off guard
• A true team player, you love brainstorming, pe