FP&A Revenue Analyst

Key Responsibilities Revenue & Customer Analytics Support ARR modelling, forecasting, and variance analysis across the business Develop and maintain customer account stratification frameworks (by size, industry, engagement, health score, etc.) Monitor customer activities and engagement patterns to identify trends and opportunities Analyze drivers of New Logo ARR, Expansion, Contraction, and Churn Build predictive models for revenue forecasting and customer behavior Build and maintain KPI metrics including: Annual Recurring Revenue (ARR), Net Revenue Retention (NRR), Gross Revenue Retention (GRR), Customer Acquisition Cost (CAC) and Lifetime Value (LTV), Payback periods and unit economics Reporting & Data Infrastructure Design and implement dashboards and reporting systems that serve as the single source of truth for business performance Build and maintain executive dashboards using Power BI and other BI tools Automate recurring reports and create self-service analytics tools for stakeholders Ensure data accuracy and consistency across all revenue systems (CRM, billing, product analytics, etc.) Create board‑ready reporting packages for executive leadership Establish and document data governance standards and best practices Perform data validation, reconciliation, and anomaly detection across systems Business Insights & Strategy Translate complex data into actionable insights and strategic recommendations Highlight growth opportunities, risk areas, and efficiency improvements Conduct cohort analyses, retention studies, and revenue waterfall analyses Partner with Sales, Customer Success, Product, and Finance teams to drive data‑informed decisions Systems & Process Management Supporting optimization of end‑to‑end SaaS reporting Partner with RevOps and Sales leadership to ensure metric alignment and data accuracy Develop and maintain documentation for data definitions, metrics, and processes Continuously improve data collection, processing, and reporting workflows Required Qualifications Experience in revenue operations, business intelligence, or analytics roles, preferably in SaaS/subscription businesses Technical Skills: Advanced proficiency in Excel/Google Sheets and SQL Experience with at least one major BI tool Familiarity with CRM and billing platforms Understanding of data warehousing concepts and ETL processes SaaS Metrics Expertise: Deep understanding of SaaS business models and key metrics (ARR, CAC, LTV, churn, expansion, net dollar retention, etc.) Analytical Mindset: Strong quantitative skills with ability to derive insights from complex datasets Communication: Excellent ability to present data stories to both technical and non‑technical audiences Partnering: Experience partnering with cross‑functional teams including Sales, Customer Success, Product, and Revenue Operations Equal OpportunitiesWe are an equal opportunities employer. This means we are committed to recruiting the best people regardless of their race, colour, religion, age, sex, national origin, disability or protected veteran status. You can find out more about your rights under the law at . If you are applying for a role and have a physical or mental disability, we will support you with your application or through the hiring process. #J-18808-Ljbffr Wood Mackenzie Inc.