Senior Revenue Analyst

5-7+ years in Revenue Analytics, Revenue Operations, Finance, FP&A, Growth Analytics, or Strategy within B2B SaaS

Strong SQL and strong BI tools experience (Sigma, Looker, Tableau)—you can pull and analyze data independently

Deep understanding of SaaS unit economics: CAC, LTV, payback period, retention curves, cohort economics, revenue recognition

Proven track record designing analytical frameworks focused on revenue impact—attribution models, forecasting models, customer value models

Business-first thinking: You naturally ask "what decision will this inform?" before building analysis

PLG and SLG fluency: Deep understanding of both models, especially monthly subscription economics

At Practice Better, we believe in pay transparency, equity, and fairness. We benchmark compensation against similar-stage, high-growth SaaS companies in both Canada and the United States and review our salary bands regularly to ensure they remain competitive and aligned with market trends.

Each role has a defined pay range based on its level, scope, and geographic location. Final offers are determined by several factors, including experience, demonstrated skills, and location, to ensure consistency and equity across our team.

$100,000 – $110,000 /year CAD

We take a holistic approach to compensation, combining salary, benefits, and flexibility. Our goal is to provide total rewards that support both your professional growth and personal well-being.

The range above reflects our expected compensation for this role, based on current market data. Final offers may vary depending on factors such as location, skills, depth of experience, and relevant certifications. All compensation ranges are reviewed regularly and may evolve over time to reflect changes in the market.

Senior Revenue Analyst

to join our growing Revenue Operations team.

You'll partner with our Head of RevOps to design the analytical frameworks, methodologies, and metrics that drive revenue decisions across our Growth and Customer teams.

Working alongside our data team, you'll build attribution models, customer health scores, revenue forecasting, and executive reporting that directly inform business strategy and resource allocation.

We're AI-forward with internal AI agents for analytical work.

You'll leverage AI to accelerate model development while focusing on validation, business logic, and ensuring analytical outputs drive actionable business decisions.