At a Glance
- Tasks: Drive revenue growth through data-driven insights and strategic analysis.
- Company: Join Bottomline, a global leader in business payments with 35 years of experience.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional development.
- Other info: Collaborative environment with a focus on innovation and growth.
- Why this job: Make a real impact on business strategies and customer success.
- Qualifications: 8+ years in Revenue Analytics and strong analytical skills required.
The predicted salary is between 90000 - 110000 £ per year.
Why Choose Bottomline?
Are you ready to transform the way businesses pay and get paid?
Bottomline is a global leader in business payments and cash management, with over 35 years of experience and moving more than $16 trillion in payments annually.
We're looking for passionate individuals to join our team and help drive impactful results for our customers.
If you're dedicated to delighting customers and promoting growth and innovation - we want you on our team!
Role
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.
This role is responsible for identifying trends before they appear in financial results, uncovering growth opportunities, evaluating commercial performance, and developing actionable recommendations that improve revenue outcomes.
The ideal candidate combines advanced analytical capabilities with strong business acumen and the ability to translate complex data into compelling narratives for executive leadership.
This individual will partner closely with Revenue Growth Programs, Customer Success, Sales, Finance, Marketing, Product, and Operations to identify opportunities, measure performance, and drive informed decision-making across the business.
How you'll contribute
Revenue Strategy & Business Insights
- 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.
- Leverage external market signals, customer data, and internal operational metrics to inform decision making.
Commercial Analytics
- 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.
- Support cross-sell, upsell, customer retention, and net-new revenue initiatives through data-driven recommendations.
- Conduct value realization and customer segmentation analyses to improve commercial effectiveness.
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
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 Saa S, 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.
Director Revenue Strategy & Analytics in Portsmouth employer: Bottomline
At Bottomline, we pride ourselves on being a global leader in business payments and cash management, offering a dynamic work environment that fosters innovation and growth. Our culture is built on collaboration and customer-centricity, providing employees with ample opportunities for professional development and the chance to make a meaningful impact in a fast-paced industry. Join us in our mission to transform the way businesses pay and get paid, and enjoy the benefits of working in a supportive and inclusive atmosphere.
StudySmarter Expert Advice🤫
We think this is how you could land Director Revenue Strategy & Analytics in Portsmouth
✨Get to Grips with Data Visualisation Tools
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✨Join Local Business Intelligence Meetups
Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like Bottomline!
✨Engage with Online BI Communities
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We think you need these skills to ace Director Revenue Strategy & Analytics in Portsmouth
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at Bottomline, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at Bottomline
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with Bottomline’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.
