Lead Revenue Analyst

Wood Mackenzie

Lead Revenue Analyst performing analytics and insights in the energy sector. Fusing proprietary data with analytics to enhance decision-making.

Posted 5/14/2026full-timeHouston • Illinois, Texas • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

ETLSQL

About the role

Key responsibilities & impact

Support ARR modelling, forecasting, and variance analysis across the business
Develop and maintain customer account stratification frameworks
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 ARR, NRR, GRR, CAC, and LTV
Design and implement dashboards and reporting systems for business performance
Automate recurring reports and create self-service analytics tools for stakeholders
Ensure data accuracy and consistency across all revenue systems
Create board-ready reporting packages for executive leadership
Conduct cohort analyses, retention studies, and revenue waterfall analyses
Partner with Sales, Customer Success, Product, and Finance teams to drive data-informed decisions
Support optimization of end-to-end SaaS reporting
Develop and maintain documentation for data definitions, metrics, and processes

Requirements

What you’ll need

Experience in revenue operations, business intelligence, or analytics roles, preferably in SaaS/subscription businesses
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
Deep understanding of SaaS business models and key metrics (ARR, CAC, LTV, churn, expansion, net dollar retention, etc.)
Strong quantitative skills with ability to derive insights from complex datasets
Excellent ability to present data stories to both technical and non-technical audiences
Experience partnering with cross-functional teams including Sales, Customer Success, Product, and Revenue Operations

Benefits

Comp & perks

Equal Opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

SQLExcelGoogle Sheetspredictive modelingKPI metricsdata analysiscohort analysisretention studiesrevenue forecastingETL processes

Soft Skills

quantitative skillsdata presentationcross-functional collaborationcommunicationanalytical thinkingproblem-solvingattention to detailstakeholder engagementdata storytellingorganizational skills