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Salary: CAD 130,000 - 140,000 / annual
Roofr is a high-growth SaaS CRM platform serving the roofing and home services industry. The company started with specialized tools like aerial roof measurements and digital sales proposals, and has evolved into a comprehensive platform connecting sales, payments, material ordering, and business management. They are well-funded, profitable, and seeking to expand their analytics capabilities.
As Senior Data Analyst, you will be a critical bridge between data and business strategy. You'll partner directly with product, marketing, and revenue teams to shape roadmaps, define success metrics, and drive growth through data-driven insights. Your responsibilities include:
- Partner with business and product owners to influence roadmaps, prioritize features, and measure success
- Build an AI-first business intelligence platform to enable self-serve analysis across the organization
- Deliver actionable insights on user behavior, market trends, and business performance to marketing, revenue, and product teams
- Lead sales and marketing analytics by defining KPIs and optimizing acquisition funnels
- Communicate data stories to both technical and non-technical audiences
- Transform, clean, and model raw data using DBT to create reliable, analytics-ready datasets
- Own the analytics foundation, inheriting and improving existing DBT models and Snowflake data warehouse structure alongside a Senior Analytics Engineer
This role sits at the intersection of analytics and business strategy, ideal for someone comfortable moving between data modeling, dashboard building, and advising senior leadership on growth opportunities. You'll have direct impact on how Roofr uses data to scale and influence the evolution of analytics practices company-wide.
REQUIREMENTS:
- 7+ years of experience in data analysis and/or data science, ideally in sales, marketing, and growth analytics at a SaaS company
- Expertise leveraging AI/ML and automation tools for growth (Claude, Cortex, and similar tools)
- Proficiency in BI tools (Metabase, Sigma, Tableau, Omni, or Looker)
- Strong SQL skills and experience with cloud data warehouses (Snowflake, PostgreSQL)
- Hands-on experience with DBT for managing the Transform layer of ELT pipelines
- Ability to work cross-functionally to define metrics, create dashboards, and ensure data quality
- Strong analytical mindset with attention to detail and accuracy
- Excellent communication and presentation skills
- Demonstrated ability to bring structure to complex projects and prioritize effectively
