Roofr is a customer-focused company that has developed a powerful CRM platform to enhance business management for its clients. The Senior Analytics Engineer will be responsible for transforming raw data into actionable insights, architecting data models, and collaborating with various teams to improve data governance and analytics capabilities.
Responsibilities:
- 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
Requirements:
- 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