Director Revenue Strategy & Analytics

Bottomline•Portsmouth, NH

About The Position

The Director, Revenue Strategy & Analytics serves as the analytical backbone of the Revenue Management organization, providing data-driven insights that influence revenue growth, customer retention, pricing strategy, and long-term business planning. The role identifies emerging trends, growth opportunities, and commercial performance drivers, then develops actionable recommendations to improve revenue outcomes. The ideal candidate combines advanced analytical capabilities with strong business acumen and can translate complex data into compelling narratives for executive leadership. The position partners with Revenue Growth Programs, Customer Success, Sales, Finance, Marketing, Product, and Operations to identify opportunities, measure performance, and inform business decisions.

Requirements

Bachelor's degree in Finance, Economics, Statistics, Analytics, Business, Mathematics, or a 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.

Nice To Haves

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.

Responsibilities

Identify emerging revenue trends, risks, and opportunities before they appear in financial results, and develop forward-looking analyses to influence revenue outcomes and business performance.
Partner with leadership teams to evaluate strategic growth opportunities and quantify business impact.
Conduct market, competitive, customer, and commercial analyses to support revenue strategy development, using external market signals, customer data, and internal operational metrics.
Analyze customer purchasing behavior, retention trends, renewal performance, expansion opportunities, and revenue leakage.
Assess pricing elasticity and commercial effectiveness to support pricing and packaging decisions.
Develop analytical frameworks to identify effective revenue growth levers and support cross-sell, upsell, retention, and net-new revenue initiatives.
Conduct value realization and customer segmentation analyses to improve commercial effectiveness.
Develop predictive models and forward-looking analyses to improve forecast accuracy; identify leading indicators and operational drivers of revenue performance.
Create early warning systems for revenue risks and customer churn.
Support quarterly and annual forecasting with analytical insights, and partner with Finance and operational leaders to assess plan performance and corrective actions.
Lead root cause analysis of customer churn and retention trends, quantify attrition drivers, and develop actionable recommendations.
Build analytical models to identify at-risk customers and revenue streams; support retention and customer-save programs with targeted insights and performance measurement.
Evaluate customer health indicators and value realization metrics.
Consolidate data from multiple systems and sources into a comprehensive revenue intelligence framework.
Design and maintain executive dashboards, performance scorecards, and operational reporting.
Develop key performance indicators and operational control metrics, establish standardized reporting methodologies and governance processes, and improve data quality, transparency, and accessibility.
Collaborate with Revenue Growth Programs to prioritize opportunities and measure initiative effectiveness.
Partner with Customer Success, Sales, Marketing, Product, and Operations to provide analytical support for strategic initiatives.
Present findings and recommendations to executive leadership and functional teams, serving as a trusted advisor on revenue performance, customer trends, and commercial strategy.