Director of Revenue Strategy and Analytics

Forecasting & Revenue Performance:

• Develop predictive models and forward-looking analyses that improve forecast accuracy.

• Identify leading indicators and operational drivers that influence revenue performance.

• Create early warning systems for revenue risks and customer churn.

• Support quarterly and annual forecasting processes with detailed analytical insights.

• Partner with Finance and operational leaders to evaluate plan performance and corrective actions.

Customer Retention & Churn Analytics:

• Lead root cause analysis of customer churn and retention trends.

• Quantify drivers of customer attrition and develop actionable recommendations.

• Build analytical models that identify at-risk customers and revenue streams.

• Support retention and customer-save programs through targeted insights and performance measurement.

• Evaluate customer health indicators and value realization metrics.

Data Management & Reporting:

• Consolidate data from multiple systems and sources to create a comprehensive revenue intelligence framework.

• Design and maintain executive dashboards, performance scorecards, and operational reporting.

• Develop key performance indicators and operational control metrics for measuring business health.

• Establish standardized reporting methodologies and governance processes.

• Improve data quality, transparency, and accessibility across the organization.

Cross-Functional Partnership:

• Collaborate with Revenue Growth Programs to prioritize opportunities and measure initiative effectiveness.

• Partner with Customer Success, Sales, Marketing, Product, and Operations to develop analytical support for strategic initiatives.

• Present findings and recommendations to executive leadership and functional teams.

• Serve as a trusted advisor on revenue performance, customer trends, and commercial strategy.

Success Metrics:

The Director, Revenue Strategy & Analytics will be measured on:

• Accuracy and predictiveness of revenue insights

• Forecast accuracy improvement

• Identification of revenue growth opportunities

• Churn reduction and retention improvement impact

• Adoption and effectiveness of analytical recommendations

• Dashboard utilization and reporting effectiveness

• Quality of leading indicators and operational metrics

• Influence on strategic business decisions

Required Skills:

• Bachelor's degree in Finance, Economics, Statistics, Analytics, Business, Mathematics, or related field.

• 8+ years of experience in Revenue Analytics, FP&A, Business Intelligence, Revenue Operations, Commercial Analytics, Consulting, or related disciplines.

• Proven experience building analytical models and translating data into executive-level recommendations.

• Advanced expertise in forecasting, performance management, and business analytics.

• Strong proficiency with BI tools, dashboard development, and data visualization.

• Experience working with large datasets and multiple data sources.

• Exceptional communication and storytelling skills.

Preferred Skills:

• Experience within SaaS, subscription, technology, fintech, or recurring revenue businesses.

• Knowledge of retention analytics, pricing strategy, customer segmentation, and revenue planning.

• Experience with predictive analytics and advanced forecasting techniques.

• MBA, Master's Degree, or advanced analytical certification.

Key Competencies:

• Strategic Analytics

• Revenue Forecasting

• Business Intelligence

• Commercial Analytics

• Customer Retention Insights

• Executive Storytelling

• Data Visualization

• Financial Modeling

• Problem Solving

• Cross-Functional Influence

We welcome talent at all career stages and are dedicated to understanding and supporting additional needs. We're proud to be an equal opportunity employer, committed to creating an inclusive and open environment for everyone.