Lead Revenue and Data Analyst

Wood Mackenzie is the global leader in analytics, insights and proprietary data across the entire energy and natural resources landscape.

For over 50 years our work has guided the decisions of the world’s most influential energy producers, utilities companies, financial institutions and governments.

Now, with the world’s energy system more complex and interconnected than ever before, sector-specific views are no longer enough. That’s why we’ve redefined what’s possible with Intelligence Connected.

By fusing our unparalleled proprietary data with the sharpest analytical minds, all supercharged by Synoptic AI, we deliver a clear, interconnected view of the entire value chain. Our trusted team of 2,700 experts across 30 countries breaks siloes and connects industries, markets and regions across the globe.

This empowers our customers to identify risk sooner, spot opportunities faster and recalibrate strategy with confidence – whether planning days, weeks, months or decades ahead.

Wood Mackenzie
Intelligence Connected

WoodMac.com

Wood Mackenzie Brand Video

Wood Mackenzie Values

• Inclusive – we succeed together
• Trusting – we choose to trust each other
• Customer committed – we put customers at the heart of our decisions
• Future Focused – we accelerate change
• Curious – we turn knowledge into action

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 Opportunities

We 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 www.eeoc.gov