Director Revenue Strategy & Analytics

Portsmouth, NHfull time

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senior

H1B: no

Bottomline Technologies The Director, Revenue Strategy & Analytics provides data-driven insights to influence revenue growth, customer retention, pricing strategy, and long-term business planning. This role partners with multiple departments to identify opportunities, measure performance, and drive informed decision-making.

Responsibilities

Identify emerging revenue trends, risks, and opportunities before they are reflected in financial results
Develop forward-looking analyses that 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
Analyze customer purchasing behavior, retention trends, renewal performance, expansion opportunities, and revenue leakage
Assess pricing elasticity and commercial effectiveness to support pricing and packaging strategy decisions
Develop analytical frameworks that identify the most effective revenue growth levers
Develop predictive models and forward-looking analyses that improve forecast accuracy
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

Qualification

Bachelor's degree in FinanceAdvanced expertise in forecastingStrong proficiency with BI toolsExperience within SaaSKnowledge of retention analyticsMBAKey CompetenciesStrategic AnalyticsRevenue ForecastingBusiness Intelligence

Required

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

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