Revenue Data and Analytics Lead
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Job Location:
Houston, MS - USA
Monthly Salary:
Not Disclosed
Posted on:
2 days ago
Vacancies:
1 Vacancy
Job Summary
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 worlds most influential energy producers utilities companies financial institutions and governments.
Now with the worlds energy system more complex and interconnected than ever before sector-specific views are no longer enough. Thats why weve redefined whats 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 2700 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
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
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.
Key Skills
- Adobe Analytics
- Data Analytics
- SQL
- Attribution Modeling
- Power BI
- R
- Regression Analysis
- Data Visualization
- Tableau
- Data Mining
- SAS
- Analytics
About Company
Empower strategic decision-making in global natural resources with quality data, analysis and advice. Discover the latest insights and reports online.
