Senior Revenue Analyst

Role Overview

• Build multi-channel attribution models connecting marketing spend to revenue outcomes and customer lifetime value
• Design customer health scores and retention models that predict revenue risk and expansion opportunity
• Create cohort methodologies and metric definitions focused on revenue impact, not just usage
• Partner with Head of RevOps on business logic—challenge requests that won't drive decisions, propose better approaches
• Build revenue forecasting models incorporating trial conversion, retention, expansion, and churn dynamics
• Partner with Finance on revenue planning, unit economics, and business modeling
• Analyze customer economics: CAC, LTV, payback period, retention curves by segment and channel
• Conduct strategic analyses answering questions like "Where should we invest to maximize revenue growth?" or "Which customer segments are most valuable?"
• Build executive dashboards showing revenue health, growth drivers, and unit economics
• Create board-level reporting connecting operational metrics to revenue outcomes
• Translate complex analyses into clear recommendations that drive resource allocation decisions
• Design self-service dashboards enabling teams to answer revenue questions independently
• Use AI agents to accelerate model development and exploration; validate outputs for business soundness and accuracy
• Partner with Data Engineer on pipeline design and data quality
• Trace metric anomalies to root causes—ensure leadership is making decisions on reliable data
• Document AI-assisted workflows for operational teams

Requirements

• 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
• AI-fluent: Comfortable using AI for analysis and model building; know when to validate versus trust
• Experience building predictive models (churn, expansion, pipeline, revenue forecasting) that informed strategic decisions
• Track record partnering with RevOps, Finance, or Leadership on strategic analytics

Tech Stack

• SQL
• Tableau

Benefits

• Comprehensive health and dental benefits from day 1
• Unlimited vacation, built on trust, clear expectations, and real support for taking time off
• Company RRSP program with employer-matched contributions
• $750 annual Health & Wellness Allowance
• $1,000 annual Learning & Development Allowance to support your growth
• $500 annual Home Office Allowance to set up a productive remote workspace
• Sprout Family: personalized support for family-building and fertility journeys
• Inkblot: confidential, digital mental health support from licensed professionals
• Regular virtual company-wide events, lunches, and team socials to stay connected
• Company-wide holiday closure in December